Method for analyzing sports-based psychological data and providing customized mental growth solutions

Abstract

A method for providing sports-based psychological data analysis and customized mental growth solutions, performed by an electronic device including a processor according to an embodiment of the present invention, comprises the operation of the processor receiving, from a laser shooting device and an inertial measurement sensor attached to the laser shooting device, bullet impact point coordinates at each firing point, time intervals between firings, and a trajectory of aiming line shake during a preset time interval immediately before firing, as shooting performance data for a user's Nth (N is a natural number) shooting session, and calculating from the received shooting performance data an aiming stability index based on the standard deviation of the trajectory of aiming line shake during the preset time interval immediately before firing, a firing consistency index based on the coefficient of variation of the time interval between firings, and a performance stabilization index based on the rate of change of bullet impact point dispersion between the first firing group and the last firing group within the Nth shooting session; and the operation of the processor, after the termination of the Nth shooting session, providing a survey interface composed of a plurality of questions regarding the cognitive and emotional state during shooting performance through a display of a user terminal, and receiving a response value for each of the plurality of questions from the user As a receiving operation, wherein each of the plurality of items is mapped to at least one of a plurality of psychological items including impulse control, resilience, self-confidence, and homeostasis; the operation of receiving the response value; the processor, by combining the aiming stability index, the firing consistency index, the performance stabilization index, and the response value according to preset weights, calculates an Nth-round psychological index score for each of the plurality of psychological items; compares the calculated Nth-round psychological index score with the 1st to N-1st-round psychological index scores stored in memory to calculate the amount of change between rounds for each of the plurality of psychological items; and among the plurality of psychological items, the operation of identifying a reinforcement target item in which the amount of change is a positive value and is greater than or equal to a first threshold, and a supplementation target item in which the Nth-round psychological index score is less than or equal to a second threshold; the processorThe method may include the operation of selecting sentence templates for each score range corresponding to the reinforcement target item and the supplement target item, respectively, from the mental recovery sentence template database stored in the memory, and generating an Nth-round mental recovery sentence by inserting the user's identification information and the information of the change amount into the selected sentence template; and the operation of the processor providing a graph displaying the moving average value of the psychological indicator scores from the 1st round to the Nth round as a time series and the Nth-round mental recovery sentence to the user terminal.

Description

Technology Field

[0001] The present invention relates to a technology that provides a solution for mental growth, and more specifically, to a technology that provides a customized solution for mental growth by analyzing psychological data based on sports. Background Technology

[0002] With the increasing interest in the mental health of modern people, various forms of digital mental healthcare services are emerging and operating. Generally, these services operate by having users respond to surveys regarding their psychological state, after which artificial intelligence or experts analyze the responses to diagnose the user's psychological characteristics and provide counseling or coaching based on the diagnostic results. For example, applications for self-diagnosing depression, anxiety, and stress levels; applications guiding meditation or breathing exercises; and applications providing self-learning content based on Cognitive Behavioral Therapy (CBT) techniques may be available in the market.

[0003] Conventional digital mental healthcare services may start from the premise that users must directly recognize and confront their own psychological problems. From the first step of using the service, users must explicitly respond to what psychological difficulties they are experiencing, and in subsequent steps, they may be required to make conscious efforts to improve their weaknesses. While this approach may be effective for users who clearly recognize their problems and have the will to actively engage in change, it can act as a barrier to entry for users who feel burdened by the very act of facing their problems or who cannot consciously accept the need for change.

[0004] Meanwhile, research on the formation of psychological effects through physical activity has accumulated over a long period in the fields of sport psychology and clinical psychology. Numerous studies have reported that physical activity of a certain intensity can have a positive impact on alleviating depression, enhancing self-efficacy, and strengthening cognitive function. In particular, it is known that sports requiring precise concentration, such as shooting, archery, and golf, can induce a state of flow in users, thereby providing emotional stability. However, while the psychological effects of such physical activity can typically be confirmed only through users' subjective satisfaction or clinical evaluations, systematized cases where they are quantitatively measured and fed back to users may be limited.

[0005] Technologies for automatically collecting and analyzing user performance data in the sports field are already widely available in various forms. In the shooting field, laser-based simulated shooting equipment is in use, allowing for the automatic recording of a user's firing results, while in the healthcare field, various wearable devices can automatically collect a user's heart rate, activity level, and sleep patterns. However, these conventional performance data collection technologies focus on measuring the user's physical performance results, and there may not be enough examples of developing the collected data into a comprehensive solution that interprets it in conjunction with the user's psychological characteristics and induces mental growth.

[0006] Furthermore, conventional mental healthcare services or sports data analysis services generally adopt an information delivery method that immediately exposes users to their scores and evaluation results for each round. While this immediate information delivery method may offer the advantage of providing data transparency to users, it can also have the side effect of inducing users to fluctuate between joy and sorrow over the results of each round and become fixated on the absolute value of their scores. Users may fall into self-criticism or lose motivation if their scores are low, or remain stuck in short-term satisfaction if their scores are high, making it difficult to perceive the flow of long-term and cumulative changes. Considering the limitations of the aforementioned conventional technologies, there is a need for a new type of integrated system that allows users to naturally form psychological changes through physical activity without consciously confronting their psychological weaknesses, while precisely controlling the timing and method of information delivery to enable users to perceive the flow of accumulated changes without becoming fixated on the results of each round. Prior art literature

[65535] Registered Patent Publication No. 10-2525277 (April 20, 2023) The problem to be solved

[0007] The method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention aims to enable a user to naturally form and recognize psychological changes without consciously facing their psychological weaknesses by retrospectively converting the psychological mechanisms manifested while the user is focusing on the physical activity of shooting into data.

[0008] In addition, the method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention aims to provide multi-layered psychological measurement results that reflect the subjectivity of self-awareness and the objectivity of behavioral manifestation in a balanced manner by calculating a psychological indicator score by combining survey response values ​​based on the user's self-report and behavioral data unconsciously manifested during shooting performance according to weights.

[0009] In addition, the method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention aims to enable users to perceive their psychological changes as a narrative of temporal flow and accumulation rather than fragmentary results by providing the moving average value of psychological indicator scores by round, the standard deviation by round interval, and the cumulative sum of changes between rounds together in the form of an integrated graph.

[0010] In addition, the method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention aims to enable the user to form self-efficacy without the burden of conscious effort by classifying and identifying the user's psychological items into reinforcement targets and supplementary targets, and automatically selecting and providing sentence templates with differentiated tones for each, while providing messages composed of phrases that allow the user to recognize the results of change retrospectively for reinforcement target items.

[0011] Furthermore, the method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention aims to provide a trend of change in psychological indicator scores from the first session to the point where the cumulative number of shooting sessions of the user reaches a threshold number in the form of an integrated report only when the cumulative number of shooting sessions of the user reaches a threshold number, thereby allowing the user to immerse themselves in the shooting activity itself without being engrossed in the results of each session while in progress, and to comprehensively recognize the accumulated changes at the point where the threshold number is reached.

[0012] The technical problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0013] A method for providing sports-based psychological data analysis and customized mental growth solutions, performed by an electronic device including a processor according to an embodiment of the present invention, comprises the operation of the processor receiving, from a laser shooting device and an inertial measurement sensor attached to the laser shooting device, bullet impact point coordinates at each firing point, time intervals between firings, and a trajectory of aiming line shake during a preset time interval immediately before firing, as shooting performance data for a user's Nth (N is a natural number) shooting session, and calculating from the received shooting performance data an aiming stability index based on the standard deviation of the trajectory of aiming line shake during the preset time interval immediately before firing, a firing consistency index based on the coefficient of variation of the time interval between firings, and a performance stabilization index based on the rate of change of bullet impact point dispersion between the first firing group and the last firing group within the Nth shooting session; and the operation of the processor, after the termination of the Nth shooting session, providing a survey interface composed of a plurality of questions regarding the cognitive and emotional state during shooting performance through a display of a user terminal, and receiving a response value for each of the plurality of questions from the user As a receiving operation, wherein each of the plurality of items is mapped to at least one of a plurality of psychological items including impulse control, resilience, self-confidence, and homeostasis; the operation of receiving the response value; the processor, by combining the aiming stability index, the firing consistency index, the performance stabilization index, and the response value according to preset weights, calculates an Nth-round psychological index score for each of the plurality of psychological items; compares the calculated Nth-round psychological index score with the 1st to N-1st-round psychological index scores stored in memory to calculate the amount of change between rounds for each of the plurality of psychological items; and among the plurality of psychological items, the operation of identifying a reinforcement target item in which the amount of change is a positive value and is greater than or equal to a first threshold, and a supplementation target item in which the Nth-round psychological index score is less than or equal to a second threshold; the processorThe method may include the operation of selecting sentence templates for each score range corresponding to the reinforcement target item and the supplement target item, respectively, from the mental recovery sentence template database stored in the memory, and generating an Nth-round mental recovery sentence by inserting the user's identification information and the information of the change amount into the selected sentence template; and the operation of the processor providing a graph displaying the moving average value of the psychological indicator scores from the 1st round to the Nth round as a time series and the Nth-round mental recovery sentence to the user terminal.

[0014] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include the operation of the processor receiving Heart Rate Variability (HRV) data measured during the progress of the Nth shooting session from a wearable device worn by the user, and the operation of the processor reflecting a parasympathetic nervous system activity index calculated from the heart rate variability data as an additional variable in the calculation of the Nth psychological index score, wherein the parasympathetic nervous system activity index is greater than or equal to a fourth threshold, and adding a value to the psychological index score corresponding to homeostasis.

[0015] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include the operation of the processor receiving pupil data of the user measured during the progress of the Nth shooting session from the front camera of the user terminal or the eye-tracking device worn by the user, and the operation of the processor calculating the rate of change of pupil diameter during a preset time interval immediately before firing from the pupil data, converting the average value of the rate of change of pupil diameter into an attention concentration index, and reflecting the attention concentration index as an additional variable in the calculation of a psychological index score corresponding to self-confidence.

[0016] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include the operation of the processor receiving Electrodermal Activity (EDA) data measured during the progress of the Nth shooting session from a wearable device worn on the wrist of the user, and the operation of the processor calculating the amplitude of the Skin Conductance Response (SCR) that occurred at the time of firing from the Electrodermal Activity data, and reflecting an emotional stability index normalized such that the smaller the average value of the amplitude, the higher the value, as an additional variable in the calculation of a psychological index score corresponding to the resilience.

[0017] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include the operation of the processor receiving, respectively, the alpha wave band amplitude of the left frontal lobe region and the alpha wave band amplitude of the right frontal lobe region measured during the progress of the Nth shooting session from a brainwave measurement device worn by the user, and the operation of the processor calculating a frontal lobe asymmetry index by subtracting the natural logarithm of the alpha wave band amplitude of the right frontal lobe region from the natural logarithm of the alpha wave band amplitude of the left frontal lobe region, and determining that the approach motivation is activated when the frontal lobe asymmetry index has a negative value, and assigning an additive value to the psychological indicator score corresponding to the self-confidence.

[0018] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include the operation of the processor activating a synchronization stimulus interface in which the shooting results of a plurality of virtual users are continuously displayed at a score lower than the average score for a certain period of time or longer on the display of the user terminal during the progress of the Nth shooting session, and the operation of the processor assigning a social independence additive value to a psychological indicator score corresponding to self-confidence when the user maintains a score higher than the average score of the plurality of virtual users at a certain score or higher while the synchronization stimulus interface is activated.

[0019] A method for providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention may further include: an operation in which the processor determines whether the absolute value of the difference between the average firing result score of the Nth shooting session and the average firing result score of the N-1th shooting session is located within a predefined flow threshold; and an operation in which, if the processor determines that the absolute value of the difference exceeds the flow threshold and the user has entered a state of boredom or anxiety, the processor automatically adjusts the target distance, target size, or firing time limit of the N+1th shooting session to correct the user's average firing result score to return to within a predefined flow channel range.

[0020] A method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention comprises the operation of the processor receiving, from a laser shooting device and an inertial measurement sensor attached to the laser shooting device, bullet impact point coordinates at each firing point, time intervals between firings, and a trajectory of aiming line shaking during a preset time interval immediately before firing, as shooting performance data for a user's Nth (N is a natural number) shooting session, and calculating an aiming stability index according to the following Equation 1, a firing consistency index according to the following Equation 2, and a performance stabilization index according to the following Equation 3 from the received shooting performance data.

[0021] [Mathematical Formula 1]

[0022]

[0023] (Here, is the aiming stability index of the above Nth shooting session, and is the number of samples during the pre-set time interval immediately before the above-mentioned firing, and at that time These are the aiming point coordinates at, is the average coordinate of the aiming point within the above time interval)

[0024] [Mathematical Formula 2]

[0025]

[0026] (Here, The above is the firing consistency indicator of the Nth firing session, and is the average value of the above-mentioned time intervals between firings, and (is the standard deviation of the time interval between the above-mentioned firings)

[0027] [Mathematical Formula 3]

[0028]

[0029] (Here, is the performance stabilization indicator of the above Nth shooting session, and It is the dispersion of the impact point coordinates of the first firing group within the Nth firing session, and (This is the dispersion of the impact point coordinates of the last firing group within the Nth firing session.)

[0030] The above processor, after the termination of the Nth shooting session, provides a survey interface composed of multiple questions regarding the cognitive and emotional state during shooting performance through the display of a user terminal, and receives a response value for each of the multiple questions from the user, wherein each of the multiple questions is mapped to at least one of a plurality of psychological items including impulse control, resilience, self-confidence, and homeostasis; the processor calculates an Nth-round psychological indicator score for each of the multiple psychological items by combining the aiming stability index, the firing consistency index, the performance stabilization index, and the response value according to the following mathematical formula 4, calculates the amount of change between rounds for each of the multiple psychological items by comparing the calculated Nth-round psychological indicator score with the 1st to N-1st-round psychological indicator scores stored in memory, and identifies among the multiple psychological items a reinforcement target item in which the amount of change is a positive value and is greater than or equal to a first threshold, and a supplementation target item in which the Nth-round psychological indicator score is less than or equal to a second threshold.

[0031] [Mathematical Formula 4]

[0032]

[0033] (Here, is the Nth psychological indicator score of the i-th psychological item among the plurality of psychological items above, and , , , is a weight applied to the score calculation of the i-th psychological item above, and its sum is 1, and is the normalized response value of the item mapped to the i-th psychological item above)

[0034] The processor may include the operation of selecting a sentence template for each score range corresponding to each of the reinforcement target item and the supplement target item from the mental recovery sentence template database stored in the memory, and generating an Nth mental recovery sentence by inserting the user's identification information and the information of the change amount into the selected sentence template, and the processor may include the operation of providing a graph displaying the moving average value of the psychological indicator score from the 1st to the Nth time as a time series and the Nth mental recovery sentence to the user terminal.

[0035] The method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention may further include the operation of the processor receiving, respectively, the alpha wave band amplitude of the left frontal lobe region and the alpha wave band amplitude of the right frontal lobe region measured during the progress of the Nth shooting session from a brainwave measurement device worn by the user, and the operation of calculating a frontal lobe asymmetry index according to the following mathematical formula 5, and determining that approach motivation is activated when the frontal lobe asymmetry index has a negative value, and assigning an additive value to the psychological indicator score corresponding to self-confidence according to the following mathematical formula 6.

[0036] [Mathematical Formula 5]

[0037]

[0038] (Here, is the frontal lobe asymmetry index of the above Nth shooting session, and is the alpha wave band amplitude of the aforementioned left frontal lobe region, and is the alpha wave band amplitude of the aforementioned right frontal lobe region)

[0039] [Mathematical Formula 6]

[0040]

[0041] (Here, is the final value of the psychological indicator score corresponding to the self-confidence mentioned above, and is the base value of the psychological indicator score corresponding to the above-mentioned self-confidence, and is a preset scaling factor) Effects of the invention

[0042] The effects of the method for providing sports-based psychological data analysis and customized mental growth solutions according to embodiments of the present invention are described as follows.

[0043] The present invention enables a user to naturally form and recognize psychological changes without consciously confronting their psychological weaknesses by using a method of retrospectively converting into data the psychological mechanisms manifested while the user focuses on the physical activity of shooting.

[0044] In addition, the present invention can provide multi-layered psychological measurement results that reflect the subjectivity of self-awareness and the objectivity of behavioral manifestation in a balanced manner by combining survey response values ​​based on the user's self-report and behavioral data that is unconsciously manifested during shooting performance according to weights to calculate a psychological indicator score.

[0045] In addition, the present invention provides the moving average value of psychological indicator scores by round, the standard deviation by round interval, and the cumulative sum of changes between rounds in the form of an integrated graph, thereby enabling the user to perceive their psychological changes as a narrative of temporal flow and accumulation rather than as fragmentary results.

[0046] In addition, the present invention identifies the user's psychological items by classifying them into reinforcement targets and supplementary targets, and automatically selects and provides sentence templates with differentiated tones for each; however, for reinforcement target items, it provides a message composed of phrases that allow the user to recognize the results of the change retrospectively, thereby enabling the user to form self-efficacy without the burden of conscious effort.

[0047] Furthermore, the present invention provides a trend of change in psychological indicator scores from the first session to the point where the user's cumulative number of shooting sessions reaches a threshold number in the form of an integrated report only when the user's cumulative number of shooting sessions reaches a threshold number, thereby allowing the user to immerse themselves in the shooting activity itself without being engrossed in the results of each session during the process, and to comprehensively recognize the accumulated changes at the point where the threshold number is reached.

[0048] In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0049] FIG. 1 is a block diagram showing the components of an electronic device according to one embodiment of the present invention. FIG. 2 is a block diagram showing the components of a system in which a method for providing sports-based psychological data analysis and customized mental growth solutions according to an embodiment of the present invention is performed. FIG. 3 is a flowchart of the operation of a method for analyzing sports-based psychological data and providing customized mental growth solutions according to an embodiment of the present invention. FIG. 4 is a specific flowchart of operations included in a method for analyzing sports-based psychological data and providing customized mental growth solutions according to an embodiment of the present invention. In relation to the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Specific details for implementing the invention

[0050] Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the embodiments of the present invention, if it is determined that a detailed description of related known components or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted.

[0051] In describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components, and the essence, order, or sequence of the components is not limited by the terms. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0052] Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 4.

[0053] FIG. 1 is a block diagram showing the components of an electronic device according to one embodiment of the present invention.

[0054] According to one embodiment, the electronic device (100) may include a memory (110), a processor (120), a communication interface (130), and / or a display device (140). The configuration of the electronic device (100) illustrated in FIG. 1 is exemplary and the embodiments of the present invention are not limited thereto. For example, the electronic device (100) may further include components not illustrated in FIG. 1 (e.g., a user interface, an input device, a notification unit, a sensor unit, or at least one of any combination thereof).

[0055] According to one embodiment, the memory (110) may store instructions or data. For example, the memory (110) may store one or more instructions that cause the electronic device (100) to perform various operations when executed by the processor (120).

[0056] For example, the memory (110) may be implemented as a single chipset with the processor (120). The processor (120) may include at least one of a communication processor or a modem.

[0057] For example, the memory (110) can store various information related to the electronic device (100). For example, the memory (110) can store information regarding the operation history of the processor (120). For example, the memory (110) can store input data acquired by the electronic device (100), output data output by the electronic device (100), data acquired from an external server, a wearable device, a plurality of cameras and / or user terminals, etc.

[0058] For example, the memory (110) may include multiple storage devices of different types. For example, the memory (110) may include volatile and / or non-volatile storage media. For example, the memory (110) may include at least one of RAM (random-access memory), ROM (read only memory), eMMC (Embedded Multi-Media Card), or any combination thereof.

[0059] The steps of the method or algorithm described in connection with the embodiments disclosed in this specification may be directly implemented in hardware, software modules, or a combination of both, executed by the processor (120). The software modules may reside in a storage medium (i.e., memory (110)) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, or a CD-ROM.

[0060] For example, the memory (110) is coupled to a processor (120), and the processor (120) can read information from a storage medium and write information to a storage medium. Alternatively, the memory (110) may be integrated with the processor (120). The memory (110) and the processor (120) may reside within an application-specific integrated circuit (ASIC). The ASIC may reside within a user terminal. Alternatively, the memory (110) and the processor (120) may reside as separate components within the user terminal.

[0061] According to one embodiment, the processor (120) may be operatively connected to the memory (110), the communication interface (130), and / or the display device (140). For example, the processor (120) may control the operation of the memory (110), the communication interface (130), and / or the display device (140).

[0062] According to one embodiment, the communication interface (130) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between an electronic device (100) and an external device (e.g., user terminal (210) of FIG. 2, external server (220), etc.), and the performance of communication through the established communication channel. The communication interface (130) may include one or more communication processors that operate independently of the processor (120) (e.g., application processor) and support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication interface (130) may include a wireless communication module (e.g., cellular communication module, short-range wireless communication module, or GNSS (global navigation satellite system) communication module) or a wired communication module (e.g., LAN (local area network) communication module, or power line communication module). The corresponding communication module among these communication modules can communicate with an external electronic device through a first network (e.g., a short-range communication network such as Bluetooth, WiFi (wireless fidelity) direct, or IrDA (infrared data association)) or a second network (e.g., a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a long-range communication network such as a computer network (e.g., LAN or WAN). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module can identify or authenticate the electronic device (100) within a communication network, such as the first network or the second network, using subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in a subscriber identification module.

[0063] According to one embodiment, the display device (140) may include at least one output device that provides various information and a user interface to the user.

[0064] For example, the display device (140) may include a display device, an audio output device, a virtual reality output device, etc.

[0065] For example, the display device (140) can provide the user with various types of user interfaces described in the present disclosure visually and / or audibly.

[0066] The components of the electronic device (100) illustrated in FIG. 1 are exemplary and the embodiments of the present disclosure are not limited thereto.

[0067] At least some of the embodiments of the present disclosure may be implemented as artificial intelligence (AI) through a processor (120) and memory (110) of an electronic device (100). The processor (120) may be composed of one or more processors, and the one or more processors may be general-purpose processors such as a CPU, AP, DSP (digital signal processor), etc., graphics-dedicated processors such as a GPU, VPU (vision processing unit), or artificial intelligence-dedicated processors such as an NPU. The one or more processors may be controlled to process input data according to predefined operation rules or artificial intelligence models stored in memory (110). Alternatively, if the one or more processors are artificial intelligence-dedicated processors, the artificial intelligence-dedicated processors may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0068] The predefined operation rules or artificial intelligence models are characterized by being created through learning. Here, being created through learning means that a predefined operation rules or artificial intelligence models configured to perform a desired characteristic (or purpose) are created by a basic artificial intelligence model being trained using a number of learning data by a learning algorithm. Such learning may be performed within the electronic device (100) itself where the artificial intelligence according to the present disclosure is performed, or it may be performed through a separate server and / or system. Examples of learning algorithms include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the examples described above.

[0069] An artificial intelligence model may be composed of multiple neural network layers. Each of the multiple neural network layers has multiple weight values ​​and can perform neural network operations through operations between the results of previous layers and the multiple weights. The multiple weights possessed by the multiple neural network layers can be optimized based on the learning results of the artificial intelligence model. For example, the multiple weights can be updated so that the loss value or cost value obtained from the artificial intelligence model during the learning process is reduced or minimized. Artificial neural networks may include, but are not limited to, deep neural networks (DNN), convolutional neural networks (CNN), recurrent neural networks (RNN), restricted Boltzmann machines (RBM), deep belief networks (DBN), bidirectional recurrent deep neural networks (BRDNN), or deep Q-networks.

[0070] According to one embodiment, the electronic device (100) may hold the artificial intelligence model in a form stored in its own memory (110) to perform inference in a local environment, or it may utilize the artificial intelligence model by communicating with an external artificial intelligence server to receive inference results. The training of the artificial intelligence model may be performed directly on the electronic device (100), or the model parameters that have been trained may be distributed to the electronic device (100) after being performed in advance on a separate training server.

[0071] According to one embodiment, the electronic device (100) may utilize an artificial intelligence model in the operation of calculating a quantitative indicator from shooting performance data. Specifically, the electronic device (100) may receive the aiming line shake trajectory during a preset time interval immediately before firing as time series data and calculate an aiming stability indicator through an LSTM-based artificial intelligence model that has learned the pattern of the time series data. In this case, the LSTM-based artificial intelligence model may be trained in advance using the aiming line shake trajectory collected from multiple users and the proficiency level of the corresponding users as training data, and the trained artificial intelligence model may receive the aiming line shake trajectory of a new user and output a normalized aiming stability indicator of 0 or more and 100 or less.

[0072] According to one embodiment, an electronic device (100) may utilize a multimodal artificial intelligence model in the operation of processing shooting performance data and survey response values ​​together to calculate a psychological indicator score. The multimodal artificial intelligence model may be configured to receive numerical data, such as quantitative indicators (aiming stability indicator, firing consistency indicator, performance stability indicator), and categorical data, such as survey response values, as separate input channels, combine feature vectors extracted from each channel in a concatenation layer, and then output a psychological indicator score for each of a plurality of psychological items through a fully connected layer. In the learning process of the artificial intelligence model, supervised learning may be performed using psychological indicator scores labeled by clinical psychology experts as correct answers.

[0073] According to one embodiment, an electronic device (100) may utilize a classification-based artificial intelligence model in the operation of identifying items to be reinforced and items to be supplemented. Specifically, the electronic device (100) may utilize a multi-class classification artificial intelligence model that takes as input the time-series change pattern of psychological indicator scores from the 1st to the Nth round and outputs one of "reinforcement target," "supplement target," or "maintenance target," thereby performing more sophisticated identification than a simple threshold comparison method. This classification-based artificial intelligence model can identify potential reinforcement targets or supplement targets that simple rule-based identification might miss by comprehensively considering the user's long-term psychological indicator change pattern, the acceleration of the amount of change between rounds, and the correlation with other psychological items.

[0074] According to one embodiment, the electronic device (100) may utilize a natural language generation artificial intelligence model in the operation of generating an Nth mental recovery sentence. The natural language generation artificial intelligence model may be a pre-trained language model based on a Transformer architecture, and may be implemented as, for example, any one of the GPT (Generative Pre-trained Transformer) series, the BERT (Bidirectional Encoder Representations from Transformers) series, the T5 (Text-to-Text Transfer Transformer) series, and models derived therefrom. The electronic device (100) may input the identification result of the item to be reinforced or the item to be supplemented, the Nth psychological indicator score of the item, the amount of change between rounds, and the user's identification information as a prompt to the natural language generation artificial intelligence model, and the natural language generation artificial intelligence model may output an Nth mental recovery sentence suitable for the user in the form of natural language based on the input prompt.

[0075] When utilizing a natural language generation artificial intelligence model, the electronic device (100) may include sentence templates stored in a mental recovery sentence template database in the prompt as few-shot examples to guide the output of the artificial intelligence model. Through this configuration, the electronic device (100) can generate natural and personalized mental recovery sentences for each user while maintaining the consistent tone and format of the predefined sentence templates.

[0076] According to one embodiment, the electronic device (100) can train a natural language generation artificial intelligence model to have a specific tone and expression style so that a sentence belonging to a reinforcement template group includes phrases in a format that cause the user to recognize the results of the change retrospectively. Specifically, the natural language generation artificial intelligence model can be fine-tuned to output phrase patterns that emphasize that the change is naturally formed rather than the result of the user's intentional effort, such as "Your [psychological item] has improved by [amount of change] over N times" or "Your [psychological item] has naturally settled over the past [number of times]".

[0077] According to one embodiment, the electronic device (100) may additionally utilize a time series prediction artificial intelligence model in the operation of providing a graph that displays the moving average value of psychological indicator scores from the 1st to Nth rounds as a time series. The time series prediction artificial intelligence model may receive the psychological indicator scores from the 1st to Nth rounds as input and predict and output the expected psychological indicator scores for the N+1th to N+kth rounds (k is a natural number), and the electronic device (100) may display the predicted psychological indicator scores together on the graph as a dotted line or other visual identifier to provide the user with a guide on the direction of future growth.

[0078] According to one embodiment, the electronic device (100) may utilize a natural language summary artificial intelligence model in the operation of generating an integrated report. The natural language summary artificial intelligence model receives inputs such as the trend of change in psychological indicator scores from the first session to the point of reaching a threshold number of sessions, the identification history of items to be reinforced and items to be supplemented for each session, and the history of mental recovery sentences for each session, and can generate a descriptive summary in natural language form regarding how the user has changed through the threshold number of shooting sessions. Such a descriptive summary can provide the effect of helping the user perceive their growth process as a single narrative.

[0079] According to one embodiment, the artificial intelligence model utilized in the electronic device (100) can be operated as a model personalized for each user. Specifically, the electronic device (100) possesses a basic artificial intelligence model that has been pre-trained based on data collected from multiple users, and as data from a specific user accumulates for each round, the basic artificial intelligence model can be fine-tuned by utilizing the user's data as additional training data. Through this, the electronic device (100) can build a personalized artificial intelligence model adapted to the user's unique shooting pattern and psychological response pattern, and as rounds are repeated, it can provide the user with more precise psychological indicator scores and mental recovery sentence generation results.

[0080] According to one embodiment, the electronic device (100) can calculate a confidence score for the output value of an artificial intelligence model, and if the confidence score is below a preset threshold, it can provide a result value of a rule-based calculation formula or a sentence template matching method stored in memory (110) to a user terminal instead of the output value of the artificial intelligence model. Through this fallback mechanism, the electronic device (100) can reduce the risk of inaccurate output caused by a lack of training data for the artificial intelligence model or outliers in the input data.

[0081] FIG. 2 is a block diagram showing the components of a system in which a method for providing sports-based psychological data analysis and customized mental growth solutions according to an embodiment of the present invention is performed.

[0082] According to one embodiment, a system in which a method for providing sports-based psychological data analysis and customized mental growth solutions is performed may include an electronic device (100), a user terminal (210), and an external server (220).

[0083] The electronic device (100) is a subject that performs the method of providing sports-based psychological data analysis and customized mental growth solutions according to one embodiment of the present invention, and may be implemented as a computing device comprising at least a processor (120), memory (110), and a communication module (communication interface (130)). The electronic device (100) may be implemented in various forms such as a desktop computer, workstation, rack-mount server, cloud instance, edge computing device, embedded system, etc., and the technical concept of the present invention is not limited by the specific physical form of the electronic device (100).

[0084] The processor of the electronic device (100) may be implemented as at least one of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a Neural Processing Unit (NPU), an Application Processor (AP), a Microcontroller Unit (MCU), or an Application-Specific Integrated Circuit (ASIC), and may be configured with a single core or a multi-core structure. To increase the inference speed of the artificial intelligence model, the electronic device (100) may additionally include a GPU or an NPU.

[0085] The memory (110) of the electronic device (100) may include both volatile memory and non-volatile memory. Volatile memory may be implemented as Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), etc., and non-volatile memory may be implemented as Solid State Drive (SSD), Hard Disk Drive (HDD), Flash Memory, Read-Only Memory (ROM), etc. In the memory (110), psychological indicator scores per round, a mental recovery sentence template database, parameters of an artificial intelligence model, cumulative data per user, etc. may be stored, and instructions that cause a processor to perform the method according to the present invention may be stored.

[0086] The communication module of the electronic device (100) can be responsible for transmitting and receiving data with a user terminal (210) and an external server (220). The communication module can support at least one of wired communication methods and wireless communication methods, and can operate according to various communication protocols such as Ethernet, Wi-Fi, Bluetooth, cellular communication (LTE, 5G), Near Field Communication (NFC), ZigBee, and Z-Wave. In addition, the communication module can transmit and receive data through various communication paradigms such as an Application Programming Interface (API) based on Representational State Transfer (REST), socket-based bidirectional communication, and message queue-based asynchronous communication.

[0087] The electronic device (100) can perform preprocessing operations such as data verification, normalization, missing value interpolation, and outlier removal on shooting performance data and survey response values ​​received from the user terminal (210). Additionally, the electronic device (100) can anonymize data collected from multiple users and utilize it for statistical analysis, and can dynamically adjust weights or thresholds used to calculate psychological indicators based on the results of the statistical analysis. The results of the operation of the electronic device (100) can be accumulated and stored in memory (110) or external storage in the form of log files, and can be used as data for future system improvement and retraining of the artificial intelligence model.

[0088] The user terminal (210) is a terminal device that the user directly operates to receive the mental growth solution according to the present invention, and can be implemented as various types of information processing terminals such as a smartphone, tablet computer, laptop computer, desktop computer, smartwatch, smart glasses, virtual reality (VR) headset, and augmented reality (AR) glasses. The user terminal (210) can be implemented in a form that is portable by the user and can provide an environment that can immediately collect the user's psychological state immediately after the end of the shooting session.

[0089] The user terminal (210) may include a display for providing visual information to the user. The display may be implemented using various display technologies such as a Liquid Crystal Display (LCD), Organic Light Emitting Diode (OLED), Active Matrix Organic Light Emitting Diode (AMOLED), and Micro LED, and may also be implemented in the form of a touchscreen that supports touch input. The user terminal (210) may visually provide the user with a survey interface, a psychological indicator score graph, a mental recovery sentence, an integrated report, etc., through the display.

[0090] The user terminal (210) may include an input module for receiving input from the user. The input module may be implemented as a touch panel, a physical button, a microphone, a camera, a gyroscope sensor, an accelerometer sensor, an eye tracking sensor, etc. In one embodiment, the user terminal (210) may receive the user's voice response through a microphone, convert the voice response into text using voice recognition technology, and then use it as a survey response value. In another embodiment, the user terminal (210) may collect the user's facial expression data through a camera and supplementarily verify the survey response value through facial expression analysis.

[0091] A user terminal (210) can operate by installing an application (hereinafter referred to as "application") for communication with an electronic device (100). The application can be distributed in a form that can operate in various operating system environments such as Android, iOS, Windows, macOS, and Linux, and can be implemented in any one of the forms of a native application, a hybrid application, or a web application. The application can provide functions such as user authentication, sending and receiving signals to start and end a shooting session, displaying a survey interface, rendering a psychological indicator score graph, displaying a mental recovery sentence, and managing user identification information.

[0092] The user terminal (210) may act as a gateway to directly communicate with the laser firing device and the inertial measurement sensor attached to the laser firing device to primarily collect firing execution data and then transmit it to the electronic device (100). In one embodiment, the user terminal (210) may receive bullet point coordinate data for each firing time from the laser firing device via Bluetooth or Wi-Fi communication, and receive aiming line shake trajectory data from the inertial measurement sensor. The user terminal (210) may temporarily store the collected data and then transmit it to the electronic device (100) in batches when the firing session ends, or it may transmit it to the electronic device (100) in a real-time streaming manner.

[0093] The external server (220) may refer to a server system that is built separately from the electronic device (100) and provides auxiliary functions or data to the electronic device (100). The external server (220) may be implemented as a single server or as a server cluster in which multiple servers are connected in a distributed structure. The external server (220) may be hosted on cloud infrastructure provided by a Cloud Service Provider (CSP) and may be operated in a cloud environment such as, for example, Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

[0094] The external server (220) can be implemented as an AI server dedicated to the training and inference of the AI ​​model. Since the training of the AI ​​model requires large amounts of training data and high-performance computing resources, it may be more efficient to perform the training on the external server (220) rather than performing the training directly on the electronic device (100). The external server (220) can train the AI ​​model by utilizing anonymized shooting performance data, survey response values, psychological indicator scores, etc., collected from multiple users as training data, and can periodically distribute the AI ​​model or model parameters that have completed training to the electronic device (100).

[0095] An external server (220) may serve as an external data source necessary for performing the method according to the present invention. In one embodiment, the external server (220) may provide a database of standardized test tools in the field of clinical psychology, and the electronic device (100) may receive standardized test tool data from the external server (220) and use it for verification or correction of psychological indicator scores calculated by itself. In another embodiment, the external server (220) may be implemented as a Large Language Model (LLM) service server operating a natural language generation model, and the electronic device (100) may generate mental recovery sentences by sending a prompt to the external server (220) and receiving a response.

[0096] The external server (220) may be implemented as an authentication server responsible for user authentication and authorization management. The authentication server may support standard authentication protocols such as OAuth 2.0, OpenID Connect, and SAML (Security Assertion Markup Language), and may verify the identity of a user accessing the service according to the present invention through a user terminal (210) and issue an authentication token. The issued authentication token is transmitted together when the user terminal (210) transmits and receives data to and from the electronic device (100), thereby enabling the electronic device (100) to process only requests from legitimate users.

[0097] The external server (220) can perform various functions incidentally required for the operation of the service of the present invention, such as payment and subscription management, sending push notifications, providing a Content Delivery Network (CDN), backup and disaster recovery, and log collection and monitoring. Communication between the external server (220) and the electronic device (100) can be encrypted through security technologies such as Transport Layer Security (TLS), Secure Shell (SSH), and Virtual Private Network (VPN) for security purposes. Additionally, the external server (220) can provide functions such as data anonymization, data retention period management, and processing data deletion requests to comply with personal information protection regulations (e.g., General Data Protection Regulation (GDPR), personal information protection laws).

[0098] FIG. 3 is a flowchart of the operation of a method for analyzing sports-based psychological data and providing customized mental growth solutions according to an embodiment of the present invention.

[0099] According to one embodiment, the components of a system in which a method for providing sports-based psychological data analysis and customized mental growth solutions is performed may perform the operations disclosed in FIG. 3. For example, among the components included in the electronic device (100) among the components of the system in which a method for providing sports-based psychological data analysis and customized mental growth solutions is performed, at least some of the components (e.g., memory (110), processor (120), communication interface (130), and display device (140) of FIG. 1) may be configured to perform the operations of FIG. 3.

[0100] In the following embodiments, the operations of S310 to S350 may be performed sequentially, but are not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel. Additionally, content corresponding to or overlapping with the above description in relation to FIG. 3 may be briefly explained or omitted.

[0101] According to one embodiment, the processor (120) receives, from a laser firing device and an inertial measurement sensor attached to the laser firing device, bullet impact point coordinates at each firing point, time interval between firings, and aiming line shake trajectory during a preset time interval immediately before firing as shooting performance data for the user's Nth (N is a natural number) shooting session, and from the received shooting performance data, can calculate an aiming stability index based on the standard deviation of the aiming line shake trajectory during the preset time interval immediately before firing, a firing consistency index based on the coefficient of variation of the time interval between firings, and a performance stabilization index based on the rate of change of bullet impact point dispersion between the first firing group and the last firing group within the Nth shooting session (S310).

[0102] The electronic device (100) can receive shooting performance data for the user's Nth shooting session from a laser shooting device and an inertial measurement sensor attached to the laser shooting device. Here, N may be a natural number greater than or equal to 1, and N may be 1 when the user first registers for the service according to the present invention and performs the first shooting session, and the value of N may increase as the user repeatedly uses the service and accumulates shooting sessions. Meanwhile, according to one embodiment, the term "shooting session" used may refer to a unit activity in which the user performs a series of firings according to a set protocol for a certain period of time, and for example, one shooting session may include 10 to 50 firings during a period of 5 to 30 minutes.

[0103] The laser firing device used in the present invention may refer to equipment that performs firing by irradiating a laser beam onto a target without using live ammunition, and may be implemented in various forms such as pistol type, rifle type, machine gun type, etc. The laser firing device may irradiate a laser onto a target at the time of firing, and an optical sensor that detects the laser may be placed on the target to calculate the position where the laser is irradiated as a coordinate value. The calculated coordinate value may be transmitted to an electronic device (100) as the coordinates of the impact point for each firing time. For example, in a two-dimensional orthogonal coordinate system with the center of the target as the origin, the impact point may be calculated as the coordinate value (12.3, -8.7), and the unit of the coordinate value may be millimeters, centimeters, or a unit normalized according to the size of the target.

[0104] Meanwhile, although the present invention may be described with laser shooting as one embodiment, the technical concept of the present invention is not limited to laser shooting and can be extended and applied to various sports disciplines. The term "shooting session" used in this specification may refer to a laser shooting activity in one embodiment, but in other embodiments, it may refer to a unit activity of sports that can manifest various psychological mechanisms such as a user's precision focus, team cooperation, willingness to challenge, and endurance. That is, the shooting performance data, quantitative indicators, and psychological indicator score calculation operations defined in the present invention can be substituted with performance data from various sports disciplines and applied, and weights and mapping relationships can be set differentially according to the characteristics of the psychological mechanisms manifested in each sport discipline.

[0105] According to one embodiment, sports to which the present invention is applicable may be classified into categories such as precision / focus sports, teamwork / cooperative sports, combat / challenge sports, and endurance / individual sports, as shown in Table 1 below. Precision / focus sports are those in which a user precisely focuses on a narrow target or goal to produce a certain result, and may include shooting, archery, golf, bowling, darts, etc. Teamwork / cooperative sports are those in which multiple users cooperate to achieve a common goal, and may include soccer, volleyball, basketball, baseball, rowing, etc. Combat / challenge sports are those in which a user directly confronts the limits of an opponent or themselves to produce a result, and may include Taekwondo, Judo, boxing, fencing, etc. Endurance / individual sports are those in which a user endures physical strain for a long period of time while pursuing individual performance, and may include marathon, swimming, climbing, tennis, badminton, etc.

[0106] [Table 1]

[0107]

[0108] According to one embodiment, each sport may have a core psychological mechanism that can be manifested or reinforced by the user during the performance of the sport. Among precision / focus sports, in the case of shooting or archery, emotional regulation, high concentration, and maintaining composure may be the core psychological mechanisms for improvement; in the case of golf, self-control, routine building, and resilience may be the core psychological mechanisms for improvement; and in the case of bowling or darts, patience through repetition and maintaining a consistent mindset may be the core psychological mechanisms for improvement.

[0109] Among teamwork / cooperative sports, in the case of soccer, teamwork, consideration, and the ability to grasp the overall situation may be key psychological mechanisms for improvement; in the case of volleyball or basketball, trust-based communication and immediate judgment may be key psychological mechanisms. In the case of baseball, strategic thinking and a sense of responsibility for role performance may be key psychological mechanisms, and in the case of rowing, self-sacrifice, synchronization, and a sense of community may be key psychological mechanisms.

[0110] Among combat / challenge sports, in the case of Taekwondo or Judo, etiquette, self-discipline, respect for opponents, and humility may be key psychological mechanisms for improvement; in the case of Boxing, overcoming fear, breaking through limits, and self-confidence may be key psychological mechanisms for improvement; and in the case of Fencing, cool-headed situational judgment, intuition, and strategic deception may be key psychological mechanisms for improvement.

[0111] In endurance / individual sports, achievement orientation, self-regulation, and pain tolerance may be key improvement psychological mechanisms for marathon or swimming, while problem-solving ability, risk-taking, and judgment may be key improvement psychological mechanisms for climbing. In tennis, mental independence and the ability to prevent mental breakdown may be key improvement psychological mechanisms, while in badminton, agile responsiveness and maintaining positive energy may be key improvement psychological mechanisms.

[0112] According to one embodiment, the electronic device (100) may differentially apply quantitative indicators and weights to be measured depending on the sport performed by the user. For example, when the user plays golf, golf performance data corresponding to the shooting performance data of the present invention, such as consistency data of the swing trajectory, stability data of the address posture, and time interval data between shots, may be received, and a psychological indicator score may be calculated by applying weights mapped to self-control and resilience. As another example, when the user plays soccer, pass accuracy data, position synchronization data with teammates, and decision time data for decisive moments may be used as performance data, and weights mapped to teamwork and situational awareness may be applied.

[0113] Such differential application by sport implies that the core concept of the present invention, "behavior-centered growth perception," is not limited to specific sports but can be extended to a universal psychological measurement and mental growth solution paradigm. Furthermore, in an integrated measurement environment combining two or more sports, users can receive comprehensive measurements of multi-layered psychological mechanisms manifested in various sports, and a more precise psychological profile can be derived through the analysis of correlations between psychological indicators.

[0114] According to one embodiment, the electronic device (100) may additionally perform the action of recommending a suitable sport according to the user's psychological developmental stage. For example, if it is identified that the user needs to improve their resilience, the electronic device (100) may recommend a sport in which resilience acts as a core psychological mechanism, such as golf or marathon; and if the user needs to strengthen their self-confidence, it may recommend a sport in which self-confidence and breaking through limits act as core psychological mechanisms, such as boxing or climbing. This sport recommendation action can serve as a basis for expanding the solution of the present invention from a single sport measurement tool to a multi-sport integrated mental healthcare platform.

[0115] An inertial measurement sensor attached to a laser firing device may refer to a sensor for detecting minute movements of the firing device, and, for example, may be implemented as a 9-axis Inertial Measurement Unit (IMU) integrating a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer. The inertial measurement sensor may be attached to the grip or barrel of the firing device and may measure changes in the attitude of the firing device at a sampling frequency of 100 Hz to 1000 Hz. Data output from the inertial measurement sensor may indicate the shaking of the firing device for a certain period of time immediately before firing, and such data may be defined as the aiming line shaking trajectory in the present invention.

[0116] The first component of the shooting performance data, the bullet impact point coordinates by firing time, may refer to a data set in which the time of each firing and the coordinates on the target are mapped for all firings performed by the user during the shooting session. For example, in a shooting session in which the user performs 30 firings, the bullet impact point coordinates by firing time may consist of 30 tuples such as (time t1, coordinates (x1, y1)), (time t2, coordinates (x2, y2)), ..., (time t30, coordinates (x30, y30)). The second component of the shooting performance data, the time interval between firings, may refer to the time difference between two consecutive firings, and the time interval between the first and second firings, the time interval between the second and third firings, etc., may be measured.

[0117] The third component of the shooting performance data, the aiming line shake trajectory during a preset time interval immediately before firing, may refer to the attitude change data of the shooting device measured by an inertial measurement sensor during a set time (e.g., 1 second, 2 seconds, 3 seconds) immediately before each firing occurs. The length of the preset time interval can be variably adjusted according to the user's proficiency, the shooting type, and the operator's settings; for example, a short time interval (e.g., 0.5 seconds) may be applied to beginners, while a long time interval (e.g., 3 seconds) may be applied to skilled users. The aiming line shake trajectory may be expressed as changes in the yaw, pitch, and roll angles of the shooting device along the time axis, or as the time-dependent coordinate trajectory of the aiming point projected onto the target plane.

[0118] The electronic device (100) can calculate three quantitative indicators from the received shooting performance data: an aiming stability indicator, a firing consistency indicator, and a performance stabilization indicator. First, the aiming stability indicator may represent a value that quantifies how stable the user's aiming line was during the time interval immediately before firing. The electronic device (100) can extract multiple coordinate points by sampling the aiming line shaking trajectory along the time axis during the time interval immediately before firing, and can calculate the standard deviation of the extracted coordinate points to use as an aiming stability indicator. Since a smaller standard deviation indicates that the aiming line was more stable, the electronic device (100) can calculate an aiming stability indicator converted into a positive value between 0 and 100 by taking the reciprocal of the standard deviation or normalizing the difference from the maximum standard deviation.

[0119] Secondly, the firing consistency index may represent a value that quantifies whether the user performed firing with a constant rhythm during the shooting session. The electronic device (100) can calculate the average value and standard deviation of the time intervals between all firings measured during the shooting session, and can calculate the coefficient of variation by dividing the standard deviation by the average value. A smaller coefficient of variation may indicate that the user's firing rhythm was consistent; for example, the coefficient of variation for a user whose all firing intervals are constant at 5 seconds may be calculated to be close to 0, whereas the coefficient of variation for a user who performs some firings in 2 seconds and others in 15 seconds may be calculated to be a large value. The electronic device (100) can normalize the coefficient of variation to convert it into a firing consistency index between 0 and 100.

[0120] Thirdly, the performance stabilization index may represent a value that quantifies the degree to which the user gradually stabilizes over time within a shooting session. The electronic device (100) can divide the total number of shots in the Nth shooting session into a first group of shots and a last group of shots according to the time order. For example, in a shooting session in which 30 shots are fired, the first 10 shots can be divided into the first group of shots and the last 10 shots into the last group of shots. The electronic device (100) can calculate the variance of the bullet impact point coordinates of the first group of shots and the variance of the bullet impact point coordinates of the last group of shots, respectively, and can calculate the rate of change between the two variances to use as a performance stabilization index. If the user stabilizes as the shooting session progresses toward the latter half and shows a tendency for the bullet impact points to converge in one place, the variance of the last group of shots becomes smaller than the variance of the first group of shots; therefore, the greater the rate of change in the negative direction, the higher the performance stabilization index can be calculated.

[0121] The electronic device (100) can map the three calculated quantitative indicators to user identification information and session information and store them in memory (120). The data structure stored in memory (120) may be in the form of a record having fields for user identifier, session number, session date and time, aiming stability indicator, firing consistency indicator, and performance stability indicator. The quantitative indicators stored in this way can be combined with survey response values ​​in subsequent operations to be used for calculating psychological indicator scores, and can also be used to analyze the user's growth trend through comparison between sessions.

[0122] Meanwhile, according to a specific embodiment, the electronic device (100) can calculate an aiming stability index based on the standard deviation of the aiming line shake trajectory during a preset time interval immediately before firing, according to the following mathematical formula 1.

[0123] [Mathematical Formula 1]

[0124]

[0125] In mathematical formula 1 may refer to the aiming stability index calculated in the Nth shooting session, and may mean the number of samples during the pre-set time interval immediately before firing, and The time The aiming point coordinates at, can represent the average coordinates of the aiming point within the time interval, respectively.

[0126] The meaning of Equation 1 can be explained as follows. After calculating the Euclidean distance from the average coordinate within the time interval for all time-specific coordinates of the aiming point measured during the pre-set time interval immediately before firing, the average value of the distance for all time points is calculated, and the result of applying a negative sign to this average distance and inputting it into a natural exponential function is multiplied by 100 to become the aiming stability index. A smaller average distance indicates that the aiming point is concentrated at a single point, and due to the characteristics of the natural exponential function, a monotonically decreasing relationship can be established where the index value approaches 100 as the average distance approaches 0, and the index value approaches 0 as the average distance increases.

[0127] The meaning of the variables used in mathematical formula 1 is as follows. is an aiming stability indicator that can have a value between 0 and 100, where a value closer to 100 indicates that the user's aim was stable and a value closer to 0 indicates that the aim was shaky. is the number of samples in the time interval immediately preceding firing, and can be determined by the product of the length of the time interval and the sampling frequency. For example, if the time interval is 2 seconds and the sampling frequency of the inertial measurement sensor is 100 Hz It can be determined to be 200. The time As two-dimensional coordinates of the aiming point projected onto the target plane, the unit can be millimeters, centimeters, or normalized units. is the arithmetic mean coordinate of all aiming point coordinates within the time interval, and It can be calculated as.

[0128] An example of a calculation applying Mathematical Formula 1 can be explained as follows. For instance, the average coordinate of 200 aiming point coordinates measured at a sampling frequency of 100 Hz for 2 seconds immediately prior to firing For users who showed a distribution of an average distance of 0.5 centimeters from the surroundings, It can be calculated as a value. As another example, in the case of a user who demonstrated very stable aiming with an average distance of 0.1 centimeters, It can be calculated as a value, and for a user with an average distance of 1.5 centimeters It can be calculated as a value of.

[0129] The academic basis for Mathematical Formula 1 is as follows. Standard deviation or Mean Absolute Deviation can be utilized as standard statistical techniques for quantifying the variance of time-series data, and this mathematical formula may utilize the average of Euclidean distances from the mean of two-dimensional coordinates as a multidimensional extension of the Mean Absolute Deviation. Furthermore, the transformation applying a negative sign to the natural exponential function is a transformation format standardly used in distance-based similarity measurements (e.g., Gaussian kernel, exponential decay function), and may be a format that can be utilized to convert variability indicators into intuitive scales ranging from 0 to 1 or from 0 to 100. In the field of kinesiology of shooting, numerous studies may have reported that the stability of the aiming point immediately before firing has a strong positive correlation with the accuracy of the shooting result, and this mathematical formula may be a formula for calculating quantitative indicators based on such academic grounds.

[0130] According to one embodiment, the electronic device (100) can calculate a firing consistency index based on the coefficient of variation of the time interval between firings according to the following mathematical formula 2.

[0131] [Mathematical Formula 2]

[0132]

[0133] In mathematical formula 2 may refer to the firing consistency index calculated in the Nth firing session, and is the average value of the time interval between firings, can represent the standard deviation of the time interval between firings, respectively.

[0134] The meaning of Equation 2 can be explained as follows. The coefficient of variation (CV) is the value obtained by dividing the standard deviation of all time intervals between firings measured during a shooting session by the mean value, and this coefficient of variation may be a value that normalizes the relative variability of the firing intervals. A coefficient of variation close to 0 indicates that the user's firing rhythm is consistent, while a coefficient of variation close to 1 indicates that the firing intervals fluctuate to a degree similar to the mean value itself, which may suggest a very irregular firing pattern. By subtracting the coefficient of variation from 1 and multiplying the result by 100, the firing consistency index can be converted into a scale that assigns a high value close to 100 to users exhibiting a consistent rhythm and a low value close to 0 to users exhibiting an irregular rhythm.

[0135] The meaning of the variables used in mathematical formula 2 is as follows. is a firing consistency indicator that can have a value between 0 and 100, and the closer it is to 100, the more consistent the user's firing rhythm may be. is the arithmetic mean of the time intervals between all shots within a shooting session, and the unit may be seconds or milliseconds. is the standard deviation of the time interval data between identical firings, and can be expressed in the same units. Coefficient of variation is a dimensionless ratio with no units, which can generally have a value greater than or equal to 0, a value close to 0 in very consistent data, and a value greater than or equal to 1 in very irregular data.

[0136] An example of a calculation applying Mathematical Formula 2 can be explained as follows. For instance, in the case of a user who exhibited a very consistent firing pattern in a shooting session of 30 firings, with all firing intervals having an average of 5 seconds and a standard deviation of 0.5 seconds, the coefficient of variation is calculated as 0.5 / 5 = 0.1. It can be calculated as a value. As another example, for a user with a large standard deviation of 3 seconds—such as having an average trigger interval of 5 seconds but performing some triggers in 2 seconds and others in 12 seconds—the coefficient of variation is calculated as 3 / 5 = 0.6. It can be calculated as a value. In addition, if the coefficient of variation is calculated to be greater than 1, the trigger consistency index may be calculated as a negative value, in which case it is clipped to 0 and a scale of 0 to 100 may be maintained.

[0137] The academic basis for Mathematical Formula 2 is as follows. The coefficient of variation is a standard normalization indicator in statistics that allows for the comparison of relative variability between data sets with different units or mean values. It is a verified indicator that has been utilized in various fields since its introduction by Karl Pearson in the early 1900s. In the fields of exercise psychology and precision shooting, it has been reported that the consistency of a user's firing interval has a strong correlation with their self-control and impulse regulation abilities. Furthermore, a constant firing interval may imply that the user maintains their own pace without being swayed by external stimuli or results. Based on this academic basis, this mathematical formula may be a formula for calculating a quantitative indicator that converts the coefficient of variation into an intuitive measure.

[0138] According to one embodiment, the electronic device (100) can calculate a performance stabilization index based on the rate of change in bullet impact point dispersion between the first firing group and the last firing group within the Nth firing session according to the following mathematical formula 3.

[0139] [Mathematical Formula 3]

[0140]

[0141] In mathematical formula 3 may refer to the performance stabilization index calculated in the Nth firing session, and is the dispersion of the impact point coordinates of the first firing group within the Nth firing session, Each can represent the dispersion of the impact point coordinates of the last firing group within the Nth firing session.

[0142] The meaning of Equation 3 can be explained as follows. After classifying all firings within a shooting session into a first group and a last group in chronological order, the impact point variance of each group is calculated. The result obtained by dividing the difference between the two variances by the sum of the two variances and multiplying it by 100 may be the performance stabilization index. If the variance of the first group is greater than that of the last group, the numerator takes on a positive value, and the performance stabilization index is calculated as a positive value; this may indicate that the user exhibited a stabilization pattern where impact points clustered in one place as the shooting session progressed toward the later stages. Conversely, if the variance of the last group is greater, the numerator takes on a negative value, and the performance stabilization index is calculated as a negative value; this may indicate that the user exhibited an unstable pattern where impact points dispersed as the session progressed toward the later stages.

[0143] The meaning of the variables used in mathematical formula 3 is as follows. It is a performance stabilization indicator that can have a value between -100 and 100, and a value closer to 100 indicates that the user showed very stable performance as they progressed toward the latter part of the shooting session, while a value closer to -100 indicates that the user showed very unstable performance as they progressed toward the latter part. is the variance of the impact point coordinates of the shots belonging to the first group of shots, and the variance can be calculated as the sum of the variance of the X-axis coordinates and the variance of the Y-axis coordinates, or as the square of the average distance between the coordinates. can be calculated in the same way as the variance of the impact point coordinates of the shots belonging to the last shot group. The first shot group and the last shot group can be defined as the first 30%, first 25%, or first 33% of the total shots in the shooting session, and can be parameters that can be set by the operator.

[0144] An example of a calculation applying Equation 3 can be explained as follows. For instance, in the case of a user who, in a shooting session of 30 firings, has a bullet point dispersion of the first 10 firing groups of 9.0 square centimeters and a bullet point dispersion of the last 10 firing groups of 1.0 square centimeter, It can be calculated as a value. As another example, in the case of a user where the variance of the first firing group is 4.0 and the variance of the last firing group is also 4.0, meaning there is no change in stabilization or destabilization, It can be calculated as a value. If the variance of the last trigger group is greater than the variance of the first trigger group (e.g., first variance 2.0, last variance 6.0), It is calculated as a value, which may suggest that the user showed a pattern of dispersed impact as they progressed toward the latter part.

[0145] The academic basis for Equation 3 is as follows. The form of normalization, which divides the difference between two variances by the sum of the two variances, may have a structure similar to a modified form of Cohen's d used in statistics to measure effect size, and may be a standard normalization form capable of expressing the difference in variance between two groups while guaranteeing a normalized range of -1 to +1. Furthermore, there may be an academic background in exercise psychology and learning theory where the process of a user gradually adapting and stabilizing over time in a new environment has been represented by a learning curve, and the comparison of variances between two points in time has been utilized to quantify such learning curves. Based on this academic basis, this equation may be a formula that quantitatively expresses the short-term learning curve within a shooting session and can be utilized as an indicator to measure the user's resilience and adaptability.

[0146] According to one embodiment, the processor (120) provides a survey interface consisting of a plurality of questions regarding the cognitive and emotional state during shooting performance through the display of the user terminal after the end of the Nth shooting session, and receives a response value for each of the plurality of questions from the user, wherein each of the plurality of questions is mapped to at least one of a plurality of psychological items including impulse control, resilience, self-confidence, and homeostasis (S320).

[0147] After the end of the Nth shooting session, the electronic device (100) may provide a survey interface consisting of multiple questions regarding the cognitive and emotional state during shooting through the display of the user terminal (210). The end time of the shooting session may be determined when the user presses the end button of the shooting device, exhausts all the predetermined number of shots, or when the predetermined shooting time has elapsed, and the electronic device (100) may automatically push the survey interface to the user terminal (210) immediately after receiving the shooting session end signal. The timing of providing the survey interface may be meaningful in that it is the time when the user's memory of the shooting experience is most vivid, and, for example, it may be set so that the survey interface is provided within 30 seconds, within 1 minute, or within 3 minutes after the end of shooting.

[0148] Multiple items included in the survey interface may consist of items regarding cognitive and emotional states during shooting. According to one embodiment, "cognitive state" may refer to the direction of thoughts, judgments, and attention concentration that the user had during shooting, and "emotional state" may refer to the emotions, moods, and emotional reactions experienced by the user during shooting. For example, items regarding cognitive state may include "I waited rather than shoot hastily when the aim was shaky," "I modified the strategy for the next shot rather than blaming myself when the score was low," and "I was more immersed in the sensations of the present moment than the result," and items regarding emotional state may include "I trusted myself and fired regardless of the result," "I regained my composure faster even when there was shaking," and "I did not dwell on missed shots and focused only on the current aim."

[0149] The visual configuration of the survey interface can be designed to allow users to respond intuitively. In one embodiment, the survey interface may be implemented as a card slide method in which each question is displayed one at a time on a screen and automatically switches to the next question after the user enters a response. In another embodiment, the survey interface may be implemented so that all questions are displayed in a scrollable form on a single screen, allowing the user to freely navigate between questions and respond. The response input method may be implemented as a 5-point or 7-point Likert scale, and phrases such as "not at all," "not," "neutral," "yes," and "very much so" may be mapped to each scale value.

[0150] Each of the multiple items may be mapped to at least one of the multiple psychological items, including impulse control, resilience, self-confidence, and homeostasis. In the present invention, "impulse control" may refer to the psychological ability to delay immediate reactions and endure until an appropriate time, and "resilience" may refer to the psychological ability to recover quickly from negative results or failure situations and proceed to the next attempt. "Self-confidence" may refer to the psychological ability to trust one's own preparation and judgment without relying on external evaluations or results, and "homeostasis" may refer to the ability to maintain a consistent psychological state without being swayed by changes in external circumstances.

[0151] The mapping relationship between the item and the psychological item can be stored in memory (120) in the form of a mapping table. For example, the item “waited rather than shot hastily when aiming was shaky” can be mapped to impulse control, the item “modified the strategy for the next shot rather than blaming myself when scoring low” can be mapped to resilience, the item “trusted myself and fired regardless of the result” can be mapped to self-confidence, and the item “tried to maintain a constant shooting tempo regardless of the score” can be mapped to homeostasis. There may also be cases where one item is mapped to two or more psychological items simultaneously, in which case the mapping weight for each psychological item can be stored together.

[0152] The electronic device (100) can receive response values ​​for each of a plurality of questions from a user. The response values ​​can be received as integer values ​​based on a Likert scale (e.g., 1 to 5), and can be implemented in such a way that the user terminal (210) collects the response values ​​and then transmits them collectively to the electronic device (100). The transmission of response values ​​can be carried out through a securely encrypted channel via a communication module, and, for example, can be transmitted as data in JSON (JavaScript Object Notation) format via a REST API call based on the HTTPS (HyperText Transfer Protocol Secure) protocol.

[0153] The composition of the questions in the survey interface may change dynamically according to the accumulation of the user's rounds. In one embodiment, an equal number of questions may be presented for all psychological items in the first round, whereas in the Nth round, more questions regarding psychological items that showed a large amount of change in the previous round may be included to facilitate precise measurement. In another embodiment, if the user showed a pattern of low consistency in the response of the previous round, additional verification questions for the corresponding psychological item may be included in the Nth round survey. This dynamic survey composition may be determined by analyzing the user-specific response history stored in memory (120).

[0154] The survey interface can be structured to induce users to recall specific situations during shooting to lower their psychological defense mechanisms. In other words, instead of questions directly asking about the user's general disposition, such as "Are you usually a patient person?", the questions can be limited to specific situations from the previous shooting session, such as "During this shoot, when your aim wavered, did you wait rather than shoot hastily?" Through this question structure, users can focus on recalling simple behaviors rather than evaluating their personality or identity, resulting in the collection of more accurate and honest responses.

[0155] According to one embodiment, the processor (120) calculates an Nth-round psychological index score for each of a plurality of psychological items by combining an aiming stability index, a firing consistency index, a performance stabilization index, and a response value according to a preset weight, and calculates the amount of change between rounds for each of the plurality of psychological items by comparing the calculated Nth-round psychological index score with the 1st to N-1st-round psychological index scores stored in memory, and can identify among the plurality of psychological items an item to be reinforced in which the amount of change is a positive value and is greater than or equal to a first threshold, and an item to be supplemented in which the Nth-round psychological index score is less than or equal to a second threshold (S330).

[0156] The electronic device (100) can calculate the Nth psychological indicator score for each of a plurality of psychological items by combining the aiming stability index, firing consistency index, and performance stability index calculated in operation 1, and the response value received in operation 2 according to a preset weight. According to one embodiment, the "preset weight" is a numerical value stored in advance in memory (120) and may represent the relative importance assigned to quantitative indicators and response values ​​for each psychological item. The weight may be determined based on prior research results in the field of clinical psychology, statistical analysis results of data from multiple users, or domain knowledge of the operator, and may be expressed as a real value between 0 and 1.

[0157] The calculation of psychological indicator scores can be performed independently for each psychological item. In one embodiment, the psychological indicator score for the impulse control item can be calculated by summing the value obtained by applying a weight of 0.4 to the trigger consistency index and the value obtained by applying a weight of 0.6 to the response value of the item mapped to the impulse control item. The psychological indicator score for the resilience item can be calculated by summing the value obtained by applying a weight of 0.5 to the performance stabilization index and the value obtained by applying a weight of 0.5 to the response value of the item mapped to the resilience item. The psychological indicator score for the self-confidence item can be calculated by summing the value obtained by applying a weight of 0.3 to the aiming stability index and the value obtained by applying a weight of 0.7 to the response value of the item mapped to the self-confidence item. The psychological indicator score for the homeostasis item can be calculated by summing the value obtained by applying a weight of 0.5 to the trigger consistency indicator and the value obtained by applying a weight of 0.5 to the response value of the item mapped to the homeostasis item.

[0158] The specific numerical value of the weight can be adjusted by the operator, and personalized weights may be applied for each user. In one embodiment, as the number of user rounds accumulates, the correlation between the user's response pattern and the quantitative indicator pattern may be analyzed, and based on the analysis results, the personalized weight for the user may be dynamically adjusted. In addition, the response value itself may undergo a normalization process to be converted into a scale identical to the quantitative indicator and then combined; for example, a response value on a 5-point scale may be linearly converted into a scale of 0 to 100 and utilized.

[0159] When the calculation of the psychological indicator score is completed, the electronic device (100) can calculate the amount of change between rounds for each of the multiple psychological items by comparing the calculated Nth-round psychological indicator score with the 1st to N-1st-round psychological indicator scores stored in the memory (120). The amount of change between rounds can be calculated as the value obtained by subtracting the N-1st-round psychological indicator score from the Nth-round psychological indicator score, and if the value is positive, it may mean that it has improved compared to the previous round, and if the value is negative, it may mean that it has decreased compared to the previous round. For example, if the user's impulse control item score was 60 points in the N-1st round and was calculated as 75 points in the Nth round, the amount of change between rounds may be +15.

[0160] The amount of change between rounds may be calculated as a cumulative amount of change, in addition to comparison with the previous round. In one embodiment, the electronic device (100) may calculate the difference between the psychological indicator score of the first round and the psychological indicator score of the Nth round as a cumulative amount of change, or may calculate a moving average per round and use the difference between the short-term trend line and the long-term trend line as the amount of change. These various methods of calculating the amount of change may be meaningful in that they allow for capturing both the short-term and long-term changes of the user.

[0161] The electronic device (100) can identify items to be reinforced and items to be supplemented among a plurality of psychological items based on the calculated amount of change and the Nth psychological indicator score. Items to be reinforced may refer to psychological items where the amount of change is a positive value and is greater than or equal to a first threshold. According to one embodiment, "first threshold" may refer to a minimum level where the amount of change between rounds is considered a meaningful improvement, and for example, the first threshold may be set as a positive integer value such as 5, 10, or 15. For example, if the first threshold is set to 10, an impulse control item with a change amount of +12 between rounds may be identified as an item to be reinforced, and a homeostasis item with a change amount of +3 between rounds may not be identified as an item to be reinforced.

[0162] Items subject to improvement may refer to psychological items in which the Nth psychological indicator score is below the second threshold. According to one embodiment, "second threshold" may refer to the maximum level at which the corresponding psychological item is considered a weakness of the user, and for example, the second threshold may be set as an integer value such as 30, 40, or 50. For example, if the second threshold is set to 40, a resilience item with an Nth psychological indicator score of 35 points may be identified as an item subject to improvement, while a self-confidence item with a score of 65 points may not be identified as an item subject to improvement.

[0163] The first and second thresholds may be pre-set by the system operator and may be dynamically adjusted based on the user's accumulated number of sessions, the average value of the user group, and system operation policies. In one embodiment, for users in the early stages who have not accumulated enough sessions, the first threshold may be set low so that they are identified as targets for small improvements, and for skilled users who have accumulated many sessions, the first threshold may be set high so that only meaningful improvements are identified as targets for reinforcement. Additionally, items targeted for reinforcement and items targeted for supplementation may not be mutually exclusive, and if a single psychological item has a large amount of change but a low absolute score, it may be identified as both a target for reinforcement and a target for supplementation simultaneously.

[0164] The electronic device (100) can store information about the identified items to be reinforced and items to be supplemented in memory (120) and use it as input data for a subsequent operation, a mental recovery sentence generation operation. The data structure stored in memory (120) may be in the form of a record having fields for a user identifier, a round number, a list of items to be reinforced, a list of items to be supplemented, the Nth round score of each item, and the amount of change of each item.

[0165] Meanwhile, according to a specific embodiment, the electronic device (100) can calculate the Nth psychological indicator score for each of the plurality of psychological items by combining the aiming stability index, the firing consistency index, the performance stabilization index, and the response value according to pre-set weights, according to the following mathematical formula 4.

[0166] [Mathematical Formula 4]

[0167]

[0168] In mathematical formula 4 can mean the Nth psychological indicator score for the i-th psychological item among multiple psychological items, and , , , represents the weights applied to the score calculation of the i-th psychological item, respectively, and can mean the normalized response value of the item mapped to the i-th psychological item.

[0169] The meaning of Equation 4 can be explained as follows. By summing the values ​​obtained by multiplying the three quantitative indicators (aiming stability indicator, firing consistency indicator, and performance stabilization indicator) calculated through Equations 1 to 3 and the user's normalized response value by their respective weights, the Nth psychological indicator score for each psychological item can be calculated. Since the weights can be set differentially according to the characteristics of the i-th psychological item, it is possible to achieve a differentiated calculation in which the quantitative indicators are reflected with a higher weight in some psychological items and the response value is reflected with a higher weight in others.

[0170] The meaning of the variables used in mathematical formula 4 is as follows. is the Nth psychological indicator score for the i-th psychological item, and can have a value between 0 and 100 inclusive. Index i=1 is an identifier for distinguishing multiple psychological items, and as an example, i=1 can correspond to impulse control, i=2 to resilience, i=3 to self-confidence, and i=4 to homeostasis. , , , Each of these is a weight applied to the aiming stability index, firing consistency index, performance stabilization index, and response value, and may have a real value between 0 and 1, and in one embodiment, the sum of the four weights may be set to be 1 ( ). , , can mean quantitative indicators calculated through mathematical formulas 1, 2, and 3, respectively. is a value obtained by normalizing the response value of the item mapped to the i-th psychological item to a scale of 0 to 100, for example, the Likert response value (1, 2, 3, 4, 5) on a 5-point scale is It can be normalized through the transformation formula.

[0171] An example of a calculation applying Mathematical Formula 4 can be explained as follows. For example, for the impulse control item (i=1), the weight is , , , For users set to, , , , If the value of was calculated, It can be calculated as a value. For the resilience item (i=2), the weight is , , , If set to, Regarding the response value It can be calculated as a value. For the self-confidence item (i=3), the weight is , , , If set to, Regarding the response value It can be calculated as a value. For the homeostasis item (i=4), the weight is , , , If set to, Regarding the response value It can be calculated as a value of.

[0172] The academic basis for Mathematical Equation 4 is as follows. The weighted linear combination of multiple variables is one of the most standard and universal combination methods in statistics and multiple measurement theory; it is a proven methodology that has been utilized to integrate data from different measurement dimensions into a single composite indicator. In the field of clinical psychology, Multi-Trait Multi-Method Matrix theory has emphasized that combining data from different measurement methods, such as self-reports and behavioral observations, can improve the reliability and validity of measurements when measuring a single psychological construct. Based on this academic background, this mathematical equation may be a multi-layered measurement output formula that combines behavioral data (three quantitative indicators) and self-report data (response values) using weights. Furthermore, the weights inside The specific value of can be determined based on prior research results in the field of clinical psychology, statistical analysis results of data from multiple users (e.g., calculation of regression coefficients through multiple regression analysis), or the operator's domain knowledge, and can be applied differentially by user or by psychological item.

[0173] According to one embodiment, the processor (120) can generate an Nth mental recovery sentence by selecting a sentence template for each score range corresponding to each of the items to be reinforced and items to be supplemented from a mental recovery sentence template database stored in memory, and inserting user identification information and information on the amount of change into the selected sentence template (S340).

[0174] The electronic device (100) can select sentence templates for each score range corresponding to each item to be reinforced and item to be supplemented from the mental recovery sentence template database stored in memory (120). According to one embodiment, the "mental recovery sentence template database" may refer to a data storage that pre-stores basic forms of mental recovery sentences to be provided to a user, and may be implemented in various forms such as a relational database, a NoSQL database, or a key-value store. In the mental recovery sentence template database, multiple sentence templates may be classified and stored by psychological item, score range, and direction of change.

[0175] Mental recovery sentence templates can be structured in a sentence format that includes placeholders, and can be saved in forms such as, for example, "{User Name} has naturally established {Psychological Item} over {Number of Sessions}," "A change of {Amount of Change} was observed in {Psychological Item} in this session," or "{User Name} is gradually becoming more resilient in {Psychological Item}." User identification information and information on the amount of change can be inserted into the placeholders later, and the types of placeholders can vary, such as user name, number of sessions, name of psychological item, numerical change amount, cumulative score, and comparison session.

[0176] Classifying sentence templates by score range may be intended to allow a suitable sentence to be selected depending on which range the user's psychological indicator score falls into. In one embodiment, the score ranges may be divided into a low score range of 0 to 30 points, a medium score range of 31 to 60 points, and a high score range of 61 to 100 points, and sentence templates with different tones and messages may be stored for each range. Sentence templates for the low score range may be written with a tone focused on encouragement and potential, sentence templates for the medium score range may be written with a tone focused on acknowledging the growth process, and sentence templates for the high score range may be written with a tone focused on confirming achievements and challenging the next step.

[0177] The electronic device (100) can select a template from a separate sentence template group for each of the items to be reinforced and items to be supplemented. For the items to be reinforced, a sentence template corresponding to a score range can be selected from the reinforcement template group, and for the items to be supplemented, a sentence template corresponding to a score range can be selected from the supplement template group. For example, if the Nth score of the impulse control item identified as the item to be reinforced is 75 points, one of the high score range templates of the reinforcement template group can be selected, and if the Nth score of the resilience item identified as the item to be supplemented is 35 points, one of the low score range templates of the supplement template group can be selected.

[0178] If there are multiple sentence templates corresponding to the same score range within each group, the electronic device (100) may select one template by utilizing various selection algorithms. In one embodiment, the electronic device (100) may select one of multiple candidate templates using a random selection method so that the user can receive a different sentence in each round. In another embodiment, the electronic device (100) may prevent the repetition of the same sentence by selecting from candidate templates excluding the template provided to the user in the previous round. In another embodiment, the electronic device (100) may prioritize selecting the most suitable template by considering the magnitude of the change, the user's cumulative number of rounds, the user's response pattern, etc.

[0179] Sentences belonging to the reinforcement template group may include phrases that retrospectively make the user aware of the results of their changes. According to one embodiment, "phrases that retrospectively make the user aware" may refer to a style of expression that emphasizes that the change was naturally formed while focusing on the act of shooting, rather than being the result of the user's intentional effort or awareness. For example, phrases such as "before I knew it, ~ took root," "became naturally ~ after passing {number of rounds}," "became solid without you even realizing it," and "over time, ~ was formed within you" may be included in the sentences of the reinforcement template group. These phrases may embody the core concept of the present invention at the sentence level, which induces the user to focus on the act itself rather than becoming engrossed in their psychological problems.

[0180] Sentences belonging to the complementary template group may include phrases that allow users to recognize the direction of action for the next session without feeling burdened. For example, phrases such as "You may be mindful of..." during the next shooting session," "You can encounter the..." part of this session again next time," or "I recommend experiencing the..." sensation once more may be included in sentences of the complementary template group. Since these phrases are structured as light behavioral guidelines for the next session rather than direct criticism or evaluation, they can minimize the user's psychological resistance.

[0181] When the selection of a sentence template is completed, the electronic device (100) can generate an Nth-time mental recovery sentence by inserting user identification information and information on the amount of change into the selected sentence template. User identification information can be retrieved and inserted from a user profile stored in memory (120), and the amount of change information can be the change value between sessions calculated in operation 3. For example, in the template "{User Name} has naturally established {psychological item} after passing {number of sessions}," user name "Kim OO", number of sessions "5", and psychological item "impulse control" are inserted, and an Nth-time mental recovery sentence "Kim OO has naturally established impulse control after passing 5 sessions" can be generated.

[0182] The generated Nth mental recovery sentences can be generated one per item for reinforcement and one per item for supplementation. For example, if there are two items for reinforcement and one item for supplementation, a total of three sentences can be generated. The generated sentences are stored in memory (120) by user and by round and can be utilized in future integrated report generation operations or time-series change analysis operations. Additionally, before the generated sentences are provided to the user, they can undergo a natural language processing-based verification operation to correct awkward expressions or grammatical errors.

[0183] According to one embodiment, the processor (120) can provide a graph displaying the moving average value of the psychological indicator score from the 1st to the Nth round as a time series and a mental recovery sentence for the Nth round to the user terminal (S350).

[0184] The electronic device (100) can provide a graph displaying the moving average value of psychological indicator scores from the 1st to the Nth round as a time series and a mental recovery sentence for the Nth round to the user terminal (210). According to one embodiment, "moving average value" may mean an average value within a certain round interval in time series data, and for example, a 3-round moving average may mean the average value of the scores from the previous 3 rounds, and a 5-round moving average may mean the average value of the scores from the previous 5 rounds. Using moving average values ​​may be intended to flatten out noise or accidental fluctuations in a single round to visually reveal the user's true growth trend.

[0185] The graph may be configured in the form of a line chart with the round number on the horizontal axis and the psychological indicator score on the vertical axis. In one embodiment, the graph may simultaneously display multiple lines color-coded according to multiple psychological items, and may be color-coded in a manner such as a red line for impulse control, a blue line for resilience, a green line for self-confidence, and a purple line for homeostasis. In another embodiment, the graph may be displayed separated into panels for each psychological item, and an interactive function may be provided that allows the user to selectively zoom in and view only the psychological items of interest.

[0186] The electronic device (100) can add various visual elements to the data displayed on the graph. In one embodiment, raw data of psychological indicator scores by round is displayed as dots on the graph, and a smooth line connecting the moving average values ​​is superimposed thereon, allowing the user to perceive short-term fluctuations and long-term trends simultaneously. Additionally, a star mark is added to the graph for rounds identified as items to be reinforced, and a circle mark is added for rounds identified as items to be supplemented, allowing the user to easily identify their inflection points.

[0187] The Nth mental recovery sentence can be displayed on the display of the user terminal (210) along with a graph. In one embodiment, the graph is placed at the top of the screen and the Nth mental recovery sentence is placed in the form of a card at the bottom of the screen, so that the user can perceive the visual trend and the text message together. The design of the card may have different colors, icons, and border shapes applied so that the reinforcing sentence and the supplementary sentence are visually distinguished, and for example, the reinforcing sentence card may be displayed with a warm tone background, and the supplementary sentence card may be displayed with a calm tone background.

[0188] Data transmission between the electronic device (100) and the user terminal (210) can be implemented in various ways. In one embodiment, the electronic device (100) can transmit raw data required for graph rendering (e.g., psychological indicator scores per round, moving average values, identification results, etc.) in JSON format to the user terminal (210), and an application installed on the user terminal (210) can dynamically render a graph using a chart library based on the received data. In another embodiment, the electronic device (100) can generate a graph as an image file (e.g., PNG, SVG) on the server side and transmit it to the user terminal (210), and the user terminal (210) can provide the graph by displaying the received image file on a display.

[0189] The interface provided to the user terminal (210) can be configured to allow the user to perform various interactions beyond simply passively viewing graphs and sentences. In one embodiment, when the user touches a point of a specific round on the graph, detailed data for that round (score, amount of change, sentence provided for that round) may be displayed as a popup, and when the user selects points of two rounds simultaneously, the difference between the two rounds may be compared and analyzed and displayed. Additionally, if the user long-presses the Nth round mental recovery sentence, options may be provided to add the sentence to favorites or share it externally.

[0190] The provision of graphs and Nth-round mental recovery sentences according to the present invention may be meaningful in that it enables users to understand their psychological changes within a temporal flow rather than perceiving them in a fragmentary manner. If users are provided with only the score for the Nth round, they may become fixated on the absolute value and view themselves from the perspective of comparison and evaluation; whereas, if they are provided with time-series changes from the 1st round to the Nth round, they can perceive their changes as a single narrative. This time-series visualization may be a key means of implementing the user experience of "behavior-centered growth recognition" pursued by the present invention in a visual dimension.

[0191] The electronic device (100) can adjust the timing of providing graphs and Nth round mental recovery messages according to the user's context. In one embodiment, the electronic device (100) can provide graphs and messages along with a push notification at a time when the user can calmly accept the results (e.g., one hour after the end of the shooting session, the next morning), rather than immediately after the end of the shooting session. In another embodiment, the electronic device (100) may provide graphs and messages in bulk by aggregating accumulated round data at a time pre-set by the user (e.g., every Sunday evening). This flexible adjustment of the timing of provision may be intended to create an environment in which the user can most effectively accept the mental recovery messages.

[0192] Additionally, the electronic device (100) may provide additional information in addition to the graph and the Nth round mental recovery sentence. For example, the average trend line of the same user group may be displayed on the graph along with the user's own trend line so that the user can gauge their relative position, and recommendations for shooting events or shooting modes to try in the next round may also be provided. This additional information can be used as an auxiliary means to motivate the user and induce continuous participation.

[0193] FIG. 4 is a specific flowchart of operations included in a method for analyzing sports-based psychological data and providing customized mental growth solutions according to an embodiment of the present invention.

[0194] According to one embodiment, the components of a system in which a method for providing sports-based psychological data analysis and customized mental growth solutions is performed may perform the operations disclosed in FIG. 4. For example, among the components included in the electronic device (100) among the components of the system in which a method for providing sports-based psychological data analysis and customized mental growth solutions is performed (e.g., memory (110), processor (120), communication interface (130), and display device (140) of FIG. 1), at least some of the components included in FIG. 4 may be configured to perform the operations of FIG. 4.

[0195] In the following embodiments, the operations of S410 to S420 may be performed sequentially, but are not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel. Additionally, content corresponding to or overlapping with the above description in relation to FIG. 4 may be briefly explained or omitted.

[0196] According to one embodiment, the processor (120) can calculate the sum of the value obtained by applying a first weight to the trigger consistency index and the value obtained by applying a second weight to the response value of the item mapped to the impulse control item among a plurality of psychological items for the impulse control item (S410).

[0197] The electronic device (100) can calculate the Nth psychological index score for the impulse control item by summing the value obtained by applying a first weight to the trigger consistency index and the value obtained by applying a second weight to the response value of the item mapped to the impulse control item among the multiple psychological items for the impulse control item.

[0198] According to one embodiment, "impulse control" may refer to a psychological ability to delay immediate desires or reactions and to withhold behavior until an appropriate time arrives, and may be a psychological construct treated in the field of clinical psychology in relation to concepts such as self-control, patience, and behavioral inhibition.

[0199] The reason the firing consistency index is combined with the impulse control item may be that the firing consistency index is a quantitative indicator that measures the uniformity of the user's firing rhythm. Users who cannot control their impulses during shooting may tend to fire hastily before their aim is sufficiently stable, or conversely, hesitate excessively and fail to maintain a consistent firing timing. In contrast, users with high impulse control may exhibit a pattern of waiting at a consistent rhythm until suitable conditions for firing are established before firing, resulting in smaller fluctuations in the time interval between firings. Therefore, a high value for the firing consistency index may suggest that the user controlled their impulses and performed shooting at a consistent pace.

[0200] The electronic device (100) can calculate a value by applying a first weight to the trigger consistency index. According to one embodiment, the "first weight" may represent the relative importance of the trigger consistency index in the calculation of the impulse control item and may be set as a real value between 0 and 1. For example, the first weight may be set to a value of 0.4, in which case, for a user whose trigger consistency index is 80 points, the value obtained by applying the first weight to the trigger consistency index may be 80 × 0.4 = 32. The specific numerical value of the first weight may be determined by the operator and may also be determined in proportion to the correlation coefficient between the trigger consistency index and impulse control through statistical analysis of data from multiple users.

[0201] The electronic device (100) can calculate a value by applying a second weight to the response value of a question mapped to the impulse control item. The question mapped to the impulse control item can be identified through a question-psychological item mapping table stored in memory (120), and, for example, questions such as "waited rather than shoot hastily when aiming was shaky," "exercised self-control by taking my hand off the trigger when it was not perfect," and "faithfully prepared for the next shot without being swept away by the result of one shot" can be mapped to the impulse control item. If there are multiple questions mapped to the impulse control item, the electronic device (100) can apply a weight after averaging or summing the response values ​​of each question to convert them into a single value.

[0202] According to one embodiment, the "second weight" may represent the relative importance of the response value in the calculation of the impulse control item and may be set as a real number between 0 and 1. The first weight and the second weight may be set so that their sum is 1, and for example, if the first weight is 0.4, the second weight may be set to 0.6. However, the sum of the first weight and the second weight may not necessarily be 1, and if a method of normalizing the calculated score in the post-processing step is adopted, the sum of the weights may be set as an arbitrary positive real number.

[0203] Before applying a second weight to the response values, the response values ​​can be normalized to the same scale as the trigger consistency index. For example, Likert response values ​​(1, 2, 3, 4, 5) on a 5-point scale can be linearly converted to a scale between 0 and 100, and the conversion formula can be applied in the form of {(response value - 1) / 4} × 100. In this case, response value 1 can be converted to 0 points, response value 3 to 50 points, and response value 5 to 100 points. This normalization is intended to allow the trigger consistency index and the response values ​​to be compared on the same scale, and scale unification may be necessary before simply summing the quantitative index and the response values.

[0204] The electronic device (100) can calculate the Nth psychological index score for the impulse control item by summing the value obtained by applying a first weight to the trigger consistency index and the value obtained by applying a second weight to the response value of the item mapped to the impulse control item. For example, for a user whose trigger consistency index is 80 points and whose response value is normalized to 70 points, if a first weight of 0.4 and a second weight of 0.6 are applied, the Nth psychological index score for the impulse control item can be calculated as (80 × 0.4) + (70 × 0.6) = 32 + 42 = 74 points. The score calculated in this way is located within the range of 0 to 100 and can be used as a quantitative evaluation value for the user's impulse control.

[0205] The electronic device (100) can store the Nth psychological indicator score for the calculated impulse control item in memory (120) along with the user identifier, the round number, and the time of calculation. The stored score can be used for various operations such as calculating the change between rounds in subsequent rounds, identifying items to be reinforced or supplemented, generating mental recovery sentences, and displaying time-series graphs. Additionally, as the impulse control scores of multiple users accumulate, the electronic device (100) can calculate the group average value, standard deviation, and distribution curve of impulse control based on the accumulated data and use it to convert a new user's score into a relative position within the group.

[0206] According to one embodiment, the calculation method for the impulse control item is defined as a combination of the firing consistency index and the response value, which may be intended to overcome the limitations of existing psychometric methods that rely solely on the user's self-report. While self-report alone can be influenced by the user's self-perception bias, social desirability bias, etc., the firing consistency index, which is automatically measured during shooting, can reflect objective behavioral data that is beyond the user's conscious control. Therefore, the calculation method of the present invention, which combines the two data according to weights, can reflect the subjectivity of self-report and the objectivity of behavioral measurement in a balanced manner.

[0207] According to one embodiment, the processor (120) can calculate the value of a resilience item among a plurality of psychological items by applying a third weight to the performance stabilization index and applying a fourth weight to the response value of the item mapped to the resilience item (S420).

[0208] The electronic device (100) can calculate the Nth psychological indicator score for the resilience item among a plurality of psychological items by summing the value obtained by applying a third weight to the performance stabilization index and the value obtained by applying a fourth weight to the response value of the item mapped to the resilience item. According to one embodiment, "resilience" may refer to the psychological ability to quickly return to a stable state and face the next challenge after facing stressful situations such as negative results, failure, or frustration, and may be a psychological construct concept treated in the field of clinical psychology in relation to concepts such as mental resilience, emotional recovery, and adaptive flexibility.

[0209] The reason the Performance Stability Index is combined with the Resilience metric may be that it is a quantitative indicator that measures the change in performance stability between the start and end of a shooting session. In the early stages of a shooting session, users may show a tendency for scattered bullet impact points due to an inability to adapt to the new environment or the influence of the first shot; conversely, in the latter stages, as users gradually stabilize, bullet impact points may tend to converge in one spot. Users with high resilience can recover quickly from negative initial results or instability to demonstrate stable performance in the latter stages, resulting in a high Performance Stability Index value. In contrast, users with low resilience may become fixated on initial results, causing instability to persist into the latter stages, which may lead to a low or negative Performance Stability Index.

[0210] The electronic device (100) can calculate a value by applying a third weight to the performance stabilization index. According to one embodiment, the "third weight" may represent the relative importance of the performance stabilization index in the calculation of the resilience item and may be set as a real value between 0 and 1. For example, the third weight may be set to a value of 0.5, in which case, for a user whose performance stabilization index is 70 points, the value obtained by applying the third weight to the performance stabilization index may be 70 × 0.5 = 35. The specific numerical value of the third weight may be determined by the operator and may be determined in proportion to the correlation coefficient between the performance stabilization index and resilience through statistical analysis of data from multiple users.

[0211] The electronic device (100) can calculate a value by applying a fourth weight to the response value of a question mapped to a resilience item. The questions mapped to the resilience item can be identified through a question-psychological item mapping table stored in memory (120), and for example, questions such as "modified the strategy for the next shot rather than blaming myself when scoring low," "focused only on the current aim without dwelling on the failed shot," and "the speed of regaining composure even when shaken increased" can be mapped to the resilience item. If there are multiple questions mapped to the resilience item, the electronic device (100) can average or sum the response values ​​of each question to convert them into a single value and then apply a weight.

[0212] According to one embodiment, the "fourth weight" may represent the relative importance of the response value in the calculation of the resilience item and may be set as a real value between 0 and 1. The third weight and the fourth weight may be set so that their sum is 1, and for example, if the third weight is 0.5, the fourth weight may also be set to 0.5. In addition, the third weight and the fourth weight may be set independently of the first weight and the second weight, so that the weight of the quantitative indicator and the response value in the impulse control item and the weight of the quantitative indicator and the response value in the resilience item may be set differently.

[0213] Before applying the fourth weight to the response value, the response value may be normalized to the same scale as the performance stabilization indicator. For example, a 5-point Likert response value may be linearly transformed into a scale of 0 to 100, and the transformation formula may be applied in the form of {(response value - 1) / 4} × 100. The normalization method may be the same as the method applied to the impulse control item, or a different normalization method may be applied to reflect the characteristics of the resilience item. In one embodiment, since the item regarding resilience is an item in which the user recalls behavior in negative situations, there is a possibility that the response value may be biased toward a lower value; therefore, non-linear normalization may be applied to correct for this bias.

[0214] The electronic device (100) can calculate the Nth psychological indicator score for the resilience item by summing the value obtained by applying a third weight to the performance stabilization index and the value obtained by applying a fourth weight to the response value of the item mapped to the resilience item. For example, for a user whose performance stabilization index is 70 points and whose response value is normalized to 60 points, if a third weight of 0.5 and a fourth weight of 0.5 are applied, the Nth psychological indicator score for the resilience item can be calculated as (70 × 0.5) + (60 × 0.5) = 35 + 30 = 65 points. The score calculated in this way is located within the range of 0 to 100 and can be used as a quantitative evaluation value for the user's resilience.

[0215] The electronic device (100) can store the Nth psychological indicator score for the calculated resilience item in memory (120) along with the user identifier, the round number, and the time of calculation. Since resilience may be a psychological construct that is difficult to accurately measure with only data from a single round, the user's recovery pattern may become more clearly revealed as rounds accumulate. In one embodiment, the electronic device (100) may use the user's stability of resilience as an additional indicator by calculating the variance of the scores from the previous N-3 to N rounds, in addition to the resilience score of the Nth round. A smaller variance may indicate that the user is consistently exhibiting high resilience.

[0216] The definition of the calculation method for the resilience item as a combination of performance stabilization indicators and response values ​​may be intended to align with the characteristic that the psychological construct of resilience is essentially a dynamic ability observed over a temporal flow. While it is difficult to capture recovery patterns at the actual behavioral level based solely on users self-reporting their recovery ability, performance stabilization indicators are the result of quantitatively measuring the user's actual stabilization process over the temporal flow of a shooting session; therefore, they can directly reflect the behavioral manifestation of resilience. Accordingly, the calculation method of the present invention can integrally measure self-perception and behavioral manifestation regarding resilience.

[0217] When the electronic device (100) completes the calculation of the Nth psychological indicator score for the resilience item, it can utilize it in an integrated manner together with the scores of other psychological items (self-confidence, homeostasis, etc.) for the same round to construct a comprehensive psychological profile of the user. For example, for a user with high impulse control but low resilience, a pattern can be identified in which "the ability to wait calmly has become solid, but it takes time to recover once shaken" and this integrated profile can serve as a basis for providing more precise feedback to the user when generating mental recovery sentences in subsequent actions.

[0218] According to one embodiment, the operation of generating an Nth mental recovery sentence includes, for an item to be reinforced, an operation in which a processor selects a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be reinforced belongs from among a group of reinforcement templates stored in a mental recovery sentence template database, and for an item to be supplemented, an operation in which a processor selects a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be supplemented belongs from among a group of supplementary templates stored in a mental recovery sentence template database, and the sentence belonging to the reinforcement template group may include a phrase in a format that causes the user to recognize the result of the change retrospectively.

[0219] According to one embodiment, the electronic device (100) can select a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be reinforced belongs from among the reinforcement template groups stored in the mental recovery sentence template database for the item to be reinforced. According to one embodiment, the "reinforcement template group" refers to a set of sentence templates separately classified and stored within the mental recovery sentence template database, and may mean a group containing sentences with a tone that recognizes and reinforces the improvement when the user's psychological item has improved compared to the previous session. The reinforcement template group is a separate data set distinct from the complementary template group and can perform the role of providing sentence resources focused on the user's positive change.

[0220] In a mental recovery sentence template database, reinforcement template groups can be classified and stored in various ways. In one embodiment, reinforcement template groups may be stored in a separate table within the database, and each sentence template record may include fields such as a template identifier, template body, applicable psychological items, applicable score ranges, types of variable positions, and tone types. In another embodiment, a reinforcement template group may be defined as a set of records among all sentence templates stored within a single table in which the "Group Type" field is marked as "Reinforcement".

[0221] Sentence templates within an enhanced template group may be further classified by score ranges. According to one embodiment, a "score range" may refer to a range of psychological indicator scores from 0 to 100 divided into fixed units, for example, it may be divided into a low score range from 0 to 30, a medium score range from 31 to 60, and a high score range from 61 to 100. The method of dividing the score ranges may be set in various ways by the operator, for example, it may be subdivided into five ranges from 0 to 20, from 21 to 40, from 41 to 60, from 61 to 80, and from 81 to 100, or it may be adaptedly divided according to the score distribution of the user group.

[0222] The electronic device (100) can determine which score range the Nth psychological indicator score of a psychological item identified as a reinforcement target item belongs to. For example, if the impulse control item is identified as a reinforcement target item and the Nth psychological indicator score is 75 points, in a system where the score range is divided into three parts—low, medium, and high—75 points may be determined to belong to the high score range. Once the score range determination is complete, the electronic device (100) can extract a subset of sentence templates corresponding to the score range within the reinforcement template group, and can finally select one sentence template from the extracted subset.

[0223] Sentence templates for each score range within the reinforcement template group can feature differentiated tones and messages based on the characteristics of the score range. Sentence templates corresponding to the low-score range focus on the fact that improvement was made compared to the previous session despite the absolute score being low, and may include phrases such as "Meaningful change has begun from a low starting point" or "The first steps of {Psychological Items} are beginning to appear." Sentence templates corresponding to the mid-score range use a tone acknowledging that the user has entered a stable trajectory of improvement, and may include phrases such as "{Psychological Items} are gradually settling in over {Session Number}" or "Consistent changes are accumulating in {Psychological Items}." Sentence templates corresponding to the high-score range use a tone that encourages further growth while confirming that the user has already reached a high level, and may include phrases such as "{Psychological Items} have entered a solid phase" or "Your {Psychological Items} are now becoming more sophisticated at a stable level."

[0224] The electronic device (100) may apply various algorithms when selecting a final template from a subset of sentence templates corresponding to a score range. In one embodiment, the electronic device (100) may select one of the candidate templates within the subset by a random selection method, in which case the user may receive a different sentence each time, thereby maintaining the freshness of the message. In another embodiment, the electronic device (100) may record the template identifier provided to the user in the previous round in memory (120), and in the Nth round, perform a subsequent selection by excluding the corresponding template from the candidates to prevent the immediate repetition of the same sentence. In another embodiment, the electronic device (100) may additionally consider where the psychological indicator score of the Nth round is located within the score range, and prioritize selecting a template with a more encouraging tone for scores located at the bottom of the range, and a template with a more affirming tone for scores located at the top of the range.

[0225] At the time of selecting a sentence template, the electronic device (100) can select the most suitable template by comprehensively considering additional information such as the user's cumulative number of rounds, the magnitude of the change compared to the previous round, and the user's response history. In one embodiment, when the amount of change is very large (e.g., +20 or more), a sentence template that emphasizes the dramatic nature of the change may be selected first, and when the amount of change is gradual (e.g., +5 to +10), a sentence template that emphasizes the meaning of the cumulative change may be selected first. This multi-layered selection algorithm can reflect differences in user-specific situations that are difficult to capture with simple score range matching alone.

[0226] Selected sentence templates can be determined one by one for each reinforcement target item. For example, if impulse control and self-confidence are identified as reinforcement target items for the user in the Nth round, the electronic device (100) can select one reinforcement template for impulse control and one reinforcement template for self-confidence, respectively, and the two templates can be converted into two Nth round mental recovery sentences through variable substitution in a subsequent step.

[0227] Sentences belonging to the reinforcement template group may include phrases that retrospectively make the user aware of the results of their changes. According to one embodiment, "phrases that retrospectively make the user aware" may refer to a style of expression that emphasizes that the change is not the result of the user consciously intervening or making an effort in the process of change, but rather a change that is naturally formed while focusing on the act of a shooting session and is discovered only afterward. Specific examples of such phrases may include expressions such as "before I knew it, [it] took root," "[it] naturally became [it] after [number] sessions," "[it] solidified without you even realizing it," "[it] formed within you over time," "Looking back, [it] had changed," and "[it] deepened while immersed in shooting."

[0228] The inclusion of such ex post cognitive phrases in the reinforcement template group may be intended to provide sentences that align with the essence of the user experience pursued by the present invention. While general psychological coaching messages tend to have a tone that requires intentional effort and self-observation from the user, the reinforcement templates of the present invention can be differentiated in that they have a tone that informs the user that they are changing without the burden of effort. By inducing the user to form the perception that "I had changed before I knew it while shooting" rather than "I changed because I tried," it is possible to achieve the effect of strengthening self-efficacy while minimizing the user's psychological burden.

[0229] The electronic device (100) can provide an operator with a management interface that can add new sentence templates to an enhanced template group or modify existing sentence templates. Through the management interface, the operator can register enhanced sentence templates with new phrase patterns and can also disable sentence templates that are judged to be ineffective based on user feedback data. Additionally, for multilingual support, sentences with the same meaning can be stored simultaneously in multiple languages ​​such as Korean, English, and Japanese, and a template of the appropriate language can be selected according to the user's language settings.

[0230] According to one embodiment, the electronic device (100) can select a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be supplemented belongs from among the supplementary template groups stored in the mental recovery sentence template database for the item to be supplemented. According to one embodiment, the "supplementary template group" is a set of sentence templates classified and stored separately from the reinforcement template group within the mental recovery sentence template database, and may refer to a group that includes sentences in a tone that allows the user to recognize the weakness without burden when the user's psychological item is evaluated below a certain level and provides a light behavioral guide for the next round.

[0231] The complementary template group may be structured in a form similar to the reinforcement template group in terms of data structure, but can be clearly distinguished in terms of the tone of the sentences and the direction of the message. While the sentences of the reinforcement template group have a tone of retrospectively confirming changes that have already occurred, the sentences of the complementary template group may have a tone of suggesting small actions that can be attempted in the next round. However, in order to maintain the basic direction of the present invention of minimizing the psychological burden on the user, the sentences of the complementary template group may also have a tone of light suggestion and presentation of possibilities rather than a tone of direct criticism or evaluation.

[0232] Sentence templates within the supplementary template group can be further classified by score ranges. The same division method as that used for the reinforcement template group can be applied to the score ranges; for example, they can be divided into a low-score range of 0 to 30 points and a medium-score range of 31 to 60 points. Since the items subject to supplementation are, by definition, items whose Nth psychological indicator score is below the second threshold, the score ranges of the supplementary template group may be divided to concentrate on a narrower score range than those of the reinforcement template group. For example, the score ranges of the supplementary template group may be subdivided into a very low range of 0 to 15 points, a low range of 16 to 30 points, and a somewhat low range of 31 to 40 points.

[0233] The electronic device (100) can determine which score range the Nth psychological indicator score of a psychological item identified as a supplementary item belongs to. For example, if a resilience item is identified as a supplementary item and the Nth psychological indicator score is 25 points, in a system where the score range is divided into three sections—low, medium, and somewhat low—it can be determined that 25 points belongs to the low range. Once the score range determination is complete, the electronic device (100) can extract a subset of sentence templates corresponding to the score range within the supplementary template group, and can finally select one sentence template from the extracted subset.

[0234] Sentence templates for different score ranges within the supplementary template group can feature differentiated tones and messages based on the characteristics of the score range. Sentence templates corresponding to very low or low score ranges employ a tone that relativizes the meaning of the score itself to prevent the user from being intimidated by the absolute value of the score; they may include phrases such as, "In this round, {Psychological Item} was in a somewhat light position," "{Psychological Item} is an area to be explored over time," and "In the next shooting session, it would be good to experience the sensations related to {Psychological Item} once again." Sentence templates corresponding to medium score ranges employ a tone that gently conveys that the user has reached a certain level but requires further improvement; they may include phrases such as, "{Psychological Item} appears to have room to go a step deeper," and "It might be meaningful to be conscious of {Psychological Item} in the next session."

[0235] Sentences in the complementary template group can avoid expressions that directly point out the user's weaknesses. For example, evaluative expressions such as "You lack resilience" or "You need to improve your resilience" may not be included in the complementary template group; instead, behavioral guide-style expressions such as "It would be good to be conscious of your resilience" or "In your next shoot, you can try taking one longer breath when you experience sway" may be included. The adoption of this tone may be intended to prevent the user from becoming fixated on their weaknesses and falling into a negative self-perception.

[0236] The sentences in the complementary template group can be structured to suggest specific actions that can be attempted in the next session. For example, a complementary sentence regarding resilience can be suggested as a specific action unit, such as, "When you get a low score in the next shot, focus on your breath for the next shot instead of blaming yourself," and a complementary sentence regarding self-confidence can be presented as, "Just before the next shot, do not think about the outcome but trust only your own senses." Such behavioral guides align with the action-oriented growth perception pursued by the present invention in that they allow users to focus on simple actions that can be immediately put into practice rather than abstract directions for improvement.

[0237] The electronic device (100) may apply various algorithms when selecting a final template from a subset of sentence templates corresponding to a score range. In one embodiment, the electronic device (100) may select one of the candidate templates within the subset by a random sampling method. In another embodiment, if the user has a history of being identified as a supplementary item in the previous round, the electronic device (100) may prioritize selecting a template containing a different behavioral guide than the one provided in that round, thereby allowing the user to experience various behavioral attempts. In another embodiment, the electronic device (100) may refer to the user's accumulated history of reinforcement items and prioritize selecting a supplementary template containing a behavioral guide linked to another already reinforced psychological item, thereby presenting a path for the user to utilize their strengths to compensate for their weaknesses.

[0238] Selected sentence templates can be determined one by one for each item to be supplemented. For example, if resilience and homeostasis are identified as items to be supplemented by the user in the Nth round, the electronic device (100) can select one supplementary template for resilience and one supplementary template for homeostasis, respectively, and the two templates can be converted into two Nth round mental recovery sentences through variable substitution in a subsequent step.

[0239] In the present invention, operating reinforcement template groups and supplementary template groups separately may be based on the recognition that messages with a differentiated tone are needed depending on the user's psychological state. Even for psychological items located within the same score range, the direction of the message to be delivered to the user may differ depending on whether they are identified as targets for reinforcement or supplementation. For example, if a user's impulse control score is 75 points and is identified as a target for reinforcement, a message with a reinforcement tone such as "Impulse control has taken root" is appropriate; however, if another user's impulse control score is also 75 points but has dropped from 80 points in the previous round and is therefore closer to a target for supplementation, a message with a different tone may be required. As such, the operation of separated template groups in the present invention may serve as a structural device to precisely reflect the user's dynamic psychological state.

[0240] The electronic device (100) can monitor the number of times a user has identified a supplementary target in the operation of a supplementary template group. In one embodiment, if the same psychological item is continuously identified as a supplementary target in a series of consecutive rounds (e.g., 5 rounds or more), the electronic device (100) may select a "long-term supplementary template" instead of a general supplementary template, and the long-term supplementary template may include phrases recommending expert counseling along with more in-depth behavioral guidance. This stepwise supplementary mechanism may be an ethical design that recognizes the limitations of an automated system and provides the user with guidance to appropriate external resources.

[0241] According to one embodiment, the operation provided to the user terminal may include the operation of the processor calculating the standard deviation by round interval and the cumulative sum of the change amount between rounds, along with the moving average value of the psychological indicator score from the 1st to the Nth round for each of the plurality of psychological items, and displaying them together on a graph.

[0242] According to one embodiment, the electronic device (100) may calculate the moving average value of the psychological indicator score from the 1st to the Nth round for each of a plurality of psychological items, along with the standard deviation by round interval and the cumulative sum of the change amount between rounds, and display them together on a graph. This operation may be a visualization operation intended to allow the user to perceive not only a simple score trend but also the user's psychological stability and the total amount of accumulated change in a multi-layered manner. While it is difficult to grasp the user's growth pattern in three dimensions with only a single statistical quantity, by providing three statistical dimensions—average, variance, and cumulative—together, the user can understand their changes from various angles.

[0243] According to one embodiment, "moving average value" may refer to a value calculated by shifting the average of data within a certain window in time series data along the time axis. In one embodiment, the moving average value may be calculated using any one of the following methods: Simple Moving Average (SMA), Weighted Moving Average (WMA), or Exponential Moving Average (EMA). A simple moving average is a value obtained by averaging all round scores within a window with equal weight; a weighted moving average is a value obtained by averaging with higher weights assigned to more recent rounds; and an exponential moving average is an averaging method in which weights decrease exponentially over time. For example, when applying a simple moving average three times, the moving average value at the time of the Nth round may be calculated as the arithmetic mean of the scores of the N-2nd, N-1st, and Nth rounds.

[0244] The window size of the moving average value can be set by the operator and may be dynamically adjusted according to the user's accumulated number of rounds. In one embodiment, in the initial stage where the user has accumulated within 5 rounds, the window size can be set small (e.g., 2 rounds) to minimize information loss due to insufficient data, and when the user has accumulated 10 rounds or more, the window size can be set large (e.g., 5 rounds) to sufficiently remove short-term noise. Additionally, the moving average value can be calculated separately for each psychological item, and the moving average value of impulse control, the moving average value of resilience, the moving average value of self-confidence, the moving average value of homeostasis, etc., can each be managed as a separate time series.

[0245] According to one embodiment, "standard deviation by round interval" may refer to the standard deviation of psychological indicator scores calculated within each round interval, in which rounds 1 through N are divided into fixed round units. For example, in a system where round intervals are set in units of 5 rounds, the standard deviation for scores from rounds 1 through 5 may be calculated as the standard deviation of the first round interval, and the standard deviation for scores from rounds 6 through 10 may be calculated as the standard deviation of the second round interval. The size of the round interval may be set in various ways by the operator, and may be divided into units such as 3, 5, 7, or 10 rounds.

[0246] The standard deviation per session interval can be a quantitative indicator of how consistently a user's psychological indicator score was maintained or how much variability there was during that session interval. A smaller standard deviation may indicate that the user maintained psychologically stable performance during that session interval, while a larger standard deviation may indicate that the user's psychological state fluctuated significantly from session to session. For example, for a user whose impulse control scores were calculated as 70, 72, 68, 71, and 69 in sessions 6 through 10, the standard deviation of the second session interval was approximately 1.4, which is very small and suggests stable performance; conversely, for a user whose scores were calculated as 50, 80, 65, 90, and 60 in the same session interval, the standard deviation was approximately 14.6, which is large and suggests performance with high variability.

[0247] According to one embodiment, the "cumulative sum of changes between rounds" may refer to the sum of all changes between rounds calculated for each round from the 1st round to the Nth round. The change between rounds is the value obtained by subtracting the psychological indicator score of the N-1th round from the psychological indicator score of the Nth round, and the cumulative sum of changes may be the result of adding up the changes in all rounds in chronological order. For example, if the impulse control scores from the 1st to the 5th rounds are calculated as 50, 55, 60, 58, and 65, the changes between rounds may be calculated as +5, +5, -2, and +7, and the cumulative sum of changes may be accumulated over time as +5, +10, +8, and +15.

[0248] The cumulative sum of changes between rounds can serve as an indicator that simultaneously reveals the user's long-term direction of change and the total amount of change. While simply comparing the absolute scores of round N makes it difficult to determine the path the user took to reach their current score, the cumulative sum of changes can visually demonstrate whether the user's trajectory has consistently improved or reached the level through repeated cycles of improvement and decline. Furthermore, a trend in which the cumulative sum steadily increases as a positive value can intuitively show the total amount of the user's accumulated growth, whereas a trend in which the cumulative sum stagnates or decreases may suggest that the user's change has stopped or is regressing.

[0249] The electronic device (100) can display the calculated moving average value, the standard deviation per round interval, and the cumulative sum of the change amount between rounds together on the same graph. In one embodiment, the graph may be composed of an orthogonal coordinate system in which the round number is placed on the horizontal axis and the scale of the psychological indicator score is placed on the vertical axis. As a primary visual element of the graph, the moving average value may be displayed in the form of a smooth curve, and the standard deviation per round interval may be displayed in the form of a shaded band or error bar around the moving average value curve. The cumulative sum of the change amount between rounds may be displayed in the form of a bar graph or an area chart on an auxiliary vertical axis of the graph or on a separate sub-panel.

[0250] The visualization method of the standard deviation for each round interval can be implemented in various ways so that users can recognize volatility at a glance. In one embodiment, a shaded area corresponding to the width of the standard deviation can be drawn above and below the moving average curve, allowing users to intuitively understand the range of volatility around the average trend line. A narrower shaded area visually indicates that the user's score is consistent, while a wider shaded area visually indicates that the score has greater volatility. In another embodiment, a vertical bar can be drawn at the boundary of the round interval so that the length of the bar represents the standard deviation of that interval, and in yet another embodiment, the standard deviation can be expressed using color intensity, with intervals of high volatility displayed in a dark color and intervals of low volatility displayed in a light color.

[0251] The method of visualizing the cumulative sum of changes between rounds can also be implemented in various ways. In one embodiment, a separate auxiliary area may be provided on the right or bottom of the graph to display the time-series change of the cumulative sum in the form of an area graph. The area graph may be configured with 0 as the baseline, with positive values ​​filling above the baseline and negative values ​​filling below it, allowing the trend of the cumulative sum increasing over time to be grasped at a glance. In another embodiment, the cumulative sum may be superimposed on a line graph distinguished by a separate color within the main graph area; in this case, the left vertical axis may separately represent the scale of the psychological indicator score, and the right vertical axis may separately represent the scale of the cumulative sum.

[0252] The electronic device (100) may add various visual aids to ensure the readability of the graph for such multi-layered visualization. For example, a mark such as a star or a circle may be added to major inflection points on the graph (e.g., rounds identified as items to be reinforced, rounds identified as items to be supplemented), and when a user hovers a mouse or finger over the mark, detailed data for that round (score, amount of change, identification result, mental recovery sentence for that round) may be displayed in the form of a tooltip. In addition, the average trend line of the user group may be displayed on the graph as a dotted line, allowing comparison with the user's own trend line.

[0253] When there are multiple psychological items, the electronic device (100) may provide an interface that allows the user to select between a unified view, which displays the moving average value, standard deviation, and cumulative sum of change of all psychological items in a single graph, and a split view, which displays a separate panel for each psychological item. In the unified view, color coding is applied to each psychological item so that multiple curves are displayed simultaneously, and the user can grasp the correlation or relative trend between items at a glance. In the split view, each psychological item occupies a larger screen area within an independent panel and is displayed in detail, allowing the user to focus on a specific item and observe its changes.

[0254] The electronic device (100) can automatically generate brief interpretation text for statistics displayed along with the graph and provide it at the bottom of the graph. For example, if the standard deviation of each round interval shows a trend of gradually decreasing over time, interpretation text such as "{number of rounds} rounds {psychological item} is being maintained at a gradually stable level" can be automatically generated. If the cumulative sum of the change between rounds shows a large value in the positive direction, interpretation text such as "cumulative improvement in {psychological item} was observed during the past rounds" can be automatically generated. By explicitly conveying the meaning of the visual information to the user, this interpretation text can help even users who are not familiar with statistical interpretation to understand the meaning of the graph.

[0255] In this invention, the simultaneous provision of three statistical quantities—moving average, standard deviation by round interval, and cumulative sum of change between rounds—may be due to the fact that each provides information regarding the user's changes in different dimensions. The moving average indicates at what level the user's score is formed and in what trend it is moving (central trend); the standard deviation by round interval indicates how consistently the user's score is maintained (stability); and the cumulative sum of change between rounds indicates the extent of change the user has achieved cumulatively over time (cumulative performance). By providing these three dimensions together, the user can comprehensively perceive whether their changes are proceeding in a stable pattern and whether their accumulated performance is sufficient, even while remaining at the same score level.

[0256] Such multi-layered visualization can align with the user experience pursued by the present invention. If only the score from a single round is emphasized, users may become fixated on absolute values ​​and fall into short-term comparisons and evaluations; whereas, by providing time-series cumulative statistics, users can perceive their changes as a result of a single flow and accumulation. In other words, the significance of this operation may be to create a visual environment that allows users to view themselves from the perspective of "how I have changed—in what flow, how consistently, and to what extent"—rather than "what my score is right now."

[0257] The electronic device (100) can activate a graph display function based on a user's request or an automatic trigger. In one embodiment, the electronic device (100) can automatically provide a graph along with a mental recovery sentence to the user terminal (210) after the end of the Nth shooting session, and in another embodiment, the graph can be displayed when the user selects the "View Growth Trend" menu within the application. Additionally, a user interface can be provided that allows the user to freely select the display range of the graph (all sessions, the last 10 sessions, a specific period) and toggle whether to display the standard deviation and cumulative sum individually.

[0258] The electronic device (100) can convert the calculated moving average value, the standard deviation per round interval, and the cumulative sum of the change amount between rounds into a time-series format data structure to transmit graph data to the user terminal (210). In one embodiment, the electronic device (100) can generate a JSON object composed of an array of data points per round and transmit it to the user terminal (210), and an application installed on the user terminal (210) can dynamically render the graph by parsing the received JSON object and inputting it into a chart library. The chart library can support various visual variations through settings such as chart type, color, and layout, and can adaptively adjust the graph to the user's display size and resolution.

[0259] Additionally, the electronic device (100) may also display a future prediction area on a graph. In one embodiment, the electronic device (100) may input time series data of psychological indicator scores from the 1st to Nth round into a time series prediction model (e.g., linear regression, autoregressive moving average (ARIMA) model, LSTM model) to calculate predicted scores for the N+1th to N+kth rounds, and may display the calculated predicted scores on a graph in the form of a dotted line. Such prediction display can provide a motivational effect by visually presenting the user with future growth potential, and at the same time, visually reveal the uncertainty of the prediction so that the user does not rely excessively on the prediction results.

[0260] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include the operation of a processor not exposing the psychological indicator score of the Nth session and the amount of change between sessions to a user terminal during the progress of the Nth shooting session, and when the cumulative number of shooting sessions by the user reaches a preset threshold number, generating and providing to the user terminal an integrated report that integrates and displays the trend of change in the psychological indicator score from the 1st session to the point in time when the threshold number is reached.

[0261] According to one embodiment, the electronic device (100) does not expose the Nth psychological indicator score and the amount of change between sessions to the user terminal (210) during the progress of the Nth shooting session, and when the cumulative number of shooting sessions by the user reaches a preset threshold number, it can generate and provide to the user terminal (210) an integrated report that displays the trend of change in the psychological indicator score from the 1st session to the point where the threshold number is reached. This operation may be an operation that implements "behavior-centered growth recognition," which is a core mechanism of user experience pursued by the present invention, at the system level, and may be an operation that precisely controls the timing of information provision so that the user does not lose immersion in the activity itself by becoming engrossed in their psychological weaknesses or score fluctuations.

[0262] According to one embodiment, "in progress of a shooting session" may mean the period from the time a user starts the Nth shooting session until the shooting session is completed and all actions 1 through 4 are terminated. In a broader sense, "in progress" may include the entire period during which a series of shooting sessions are accumulated after the user registers for the service of the present invention, and may be interpreted as a period during which score information is not exposed even when the user opens the application to check their score during a rest period between shooting sessions. In one embodiment of the present invention, the scope of "in progress" may be defined as the duration of all shooting sessions prior to the user reaching a threshold number.

[0263] The electronic device (100) may not expose the Nth psychological indicator score and the amount of change between rounds to the user terminal (210). According to one embodiment, the expression “not exposed” may mean blocking the user from directly perceiving the information in any form, whether visually, audibly, or otherwise. In one embodiment, the electronic device (100) normally stores the calculated Nth psychological indicator score and the amount of change between rounds in the memory (120), but may exclude or mask the corresponding fields during data transmission to the user terminal (210). In another embodiment, the application of the user terminal (210) may keep the user interface element displaying the information in a disabled state or hide it from the screen until a threshold number is reached.

[0264] However, the expression "not exposed" does not necessarily mean that no feedback is provided to the user. The mental recovery sentence described in Action 4 can be provided to the user even before reaching a threshold number of times, in that it allows the user to perceive the direction of their change in the form of tone without perceiving their score or amount of change in a direct numerical form. In other words, this action seeks a balance in which the user can receive emotional feedback while focusing on the action without becoming engrossed in their score, by blocking the exposure of quantitative numerical information (score, amount of change) while providing qualitative messages (sentences).

[0265] According to one embodiment, "accumulated number of shooting sessions by a user" may refer to the total number of shooting sessions completed by a specific user since registering for the service according to the present invention. The accumulated number may be managed in the form of a counter in memory (120) for each user identifier and may be increased by 1 each time a user completes a new shooting session. According to one embodiment, "pre-set threshold number" may refer to a reference value for determining the point in time when an integrated report is first provided to a user and may be set in advance by an operator. For example, the threshold number may be set to a value such as 5, 7, 10, or 12 times, and may be determined based on the number of times when the user's data begins to show a statistically meaningful trend.

[0266] The setting of the threshold count can have a significant impact on the effectiveness of this operation. If the threshold count is set too low, users may find it difficult to perceive their changes as a sufficient flow, and the informational value of the integrated report may be limited. If the threshold count is set too high, users may not receive any comprehensive feedback on their progress for a long period, which may lead to decreased motivation or abandonment of the service. Therefore, the threshold count can typically be determined by the operator within a range of 5 to 15 times, and in one embodiment, it may be adaptively adjusted for each user, applying a faster threshold count to users with high participation frequency and a slower threshold count to users with low participation frequency.

[0267] The electronic device (100) can check whether the user's accumulated number of shooting sessions has reached a threshold number at each session. In one embodiment, the electronic device (100) can increase the user's accumulated count counter by 1 at the time when operations 1 through 4 are completed, and then check whether the updated counter value matches the threshold number. If it matches, the electronic device (100) can trigger the integrated report generation procedure. Additionally, the integrated report may be periodically updated and provided even after the user has exceeded the threshold number, and, for example, a new integrated report may be generated and provided at sessions corresponding to an integer multiple of the threshold number (e.g., if the threshold number is 5, at the 5th, 10th, and 15th sessions).

[0268] According to one embodiment, the "integrated report" may refer to a result of integrating all of the user's session data from the first session up to the point of reaching a threshold number of sessions into a single visual or textual document. The integrated report may take the form of a comprehensive report configured to allow the user to grasp their accumulated changes at a glance, and may include various components such as time-series graphs, statistical summaries, cumulative history of items to be reinforced and items to be supplemented, a cumulative collection of mental recovery sentences by session, and text summarizing the user's growth narrative in natural language.

[0269] As the first component of the integrated report, the electronic device (100) can provide the trend of change in psychological indicator scores for each of a plurality of psychological items from the first round to the point of reaching a threshold number of rounds in the form of an integrated graph. The integrated graph may be configured in a form similar to the graph described above, but the user's cognitive effect can be maximized in that it is first exposed to the user at the point of reaching the threshold number of rounds. The integrated graph may comprehensively display score trends by round, moving average lines, volatility by round interval, cumulative change amount, etc., and may allow the user to visually confront the trajectory of how they have changed while going through the threshold number of rounds.

[0270] As a second component of the integrated report, the electronic device (100) can display the identification history of items to be reinforced and items to be supplemented for each session in chronological order. For example, in the case of a user in whom impulse control was identified as a supplementary item in the first session, self-confidence was identified as a reinforcement item in the third session, and resilience was identified as a reinforcement item in the fifth session, the integrated report can visualize this identification history in the form of a timeline so that the user can recognize the step-by-step progress of their psychological changes.

[0271] As a third component of the integrated report, the electronic device (100) can accumulate and provide all mental recovery sentences that were provided to the user in each round. By rereading all the reinforcing and supplementary sentences received during a threshold number of rounds at once, the user can comprehensively experience the tone of the psychological changes they have undergone. In one embodiment, the electronic device (100) can highlight the sentence from the round with the greatest amount of change or the sentence at the most meaningful inflection point among the accumulated sentences so that the user does not miss the key message.

[0272] As a fourth component of the integrated report, the electronic device (100) can generate and provide a comprehensive message that summarizes the user's growth narrative in natural language. The comprehensive message may be text that explains in a narrative tone how the user has changed in a flow by comparing the user's state at the first session with the user's state at the point when a threshold number of sessions is reached. For example, a narrative message such as "You showed a somewhat shaky trigger rhythm in the first session, but after going through {threshold number} sessions, a stable trigger pattern has already taken root. During that time, impulse control has cumulatively improved by +20, and a meaningful change in resilience has also been observed" can be automatically generated.

[0273] A natural language generation artificial intelligence model may be utilized for generating a comprehensive message. An electronic device (100) may input data from a user at least once or at a threshold number of times into a natural language generation model in the form of a prompt, and the natural language generation model may generate a personalized narrative message based on the user's data. In another embodiment, the comprehensive message may be generated by inserting the user's data into a predefined narrative template, in which case the system may classify data patterns (e.g., progressively improving, fluctuating and then stable, initial leaping, etc.) and then select a suitable narrative template for each pattern.

[0274] The electronic device (100) can adaptively determine the method of providing the integrated report according to the user's context. In one embodiment, the integrated report may be automatically displayed on the application screen immediately after the user completes a shooting session corresponding to a threshold number, and a push notification such as "{User Name}'s {threshold number} integrated report has arrived" may be sent to the user. In another embodiment, the integrated report may be sent to the user in the form of a separate PDF file or email, allowing the user to keep and re-view their change records even offline.

[0275] The visual design of the integrated report can be configured to allow users to focus on their changes without feeling overwhelmed by the information. In one embodiment, the integrated report may be provided in a slide format consisting of multiple pages. A configuration may be adopted in which only a summary message is displayed in large font on the first page to allow users to first grasp the emotional weight of the message, after which detailed information, such as graphs and identification history, is gradually revealed on subsequent pages. This gradual disclosure method can help users absorb information step by step and experience their changes firsthand.

[0276] The core significance of this operation lies in the fact that it allows the user to focus on the act of shooting itself without knowing their score or changes while the activity is in progress. While general psychological measurement systems or exercise data tracking apps adopt a structure where users check their scores every time and become conscious of their shortcomings or improvements, this invention intentionally blocks score information to prevent the user from fluctuating between joy and sorrow over the results of each round. Through this, the user is freed from the burden of evaluation asking "Am I doing well or poorly?" and can maintain immersion in the act itself, focusing on the fact that "I am simply engaging in shooting."

[0277] Furthermore, since an integrated report is provided upon reaching a critical number of times, users can discover that they have already changed without conscious effort or observation. This implements, at the system level, the user experience emphasized in the application intent of this invention: "realizing an inner self that has changed simply by taking action, without bearing the weight of knowing that there is a problem." This can be considered the technical identity of this invention, which differentiates it from simple information provision systems.

[0278] The electronic device (100) can continuously improve the system by monitoring the user's response after the integrated report is provided. In one embodiment, after receiving the integrated report, the user can input an evaluation of the usefulness of the integrated report, the appropriateness of the message, and the readability of the visualization through a feedback interface within the application, and the input feedback data can be used to adjust the threshold count, improve the tone of the comprehensive message, optimize the graph design, etc. In addition, the retention rate of the user's participation in subsequent rounds after receiving the integrated report can be tracked to quantitatively evaluate the motivational effect of the integrated report.

[0279] Additionally, the electronic device (100) may operate an exception policy that allows some information to be exposed to the user exceptionally even before reaching a threshold number. In one embodiment, when the user explicitly requests to view their progress through a separate menu within the application, the electronic device (100) may selectively provide only a collection of accumulated mental recovery sentences or simplified progress indicators (e.g., number of accumulated shooting sessions, number of remaining sessions until the next integrated report), while still blocking quantitative scores. This exception policy may be intended to strike a balance between the user's right to know and the user experience intent of the present invention.

[0280] Additionally, the electronic device (100) may also operate a response policy for cases where the user stops using the service or becomes inactive for a long period before reaching a threshold number of times. In one embodiment, if the user does not complete a subsequent shooting session for a certain period (e.g., 30 days) after the last shooting session, the electronic device (100) may generate and provide the user with a simplified integrated report based on data accumulated up to that point, even before reaching a threshold number of times. This may be a mechanism to induce re-participation in the service by providing the user with an opportunity to recognize their change at least once before completely leaving the service.

[0281] The electronic device (100) can also properly manage the data security and privacy of the integrated report. Since the integrated report may contain sensitive information regarding the user's psychological changes, the electronic device (100) may apply end-to-end encryption when transmitting the integrated report to the user terminal (210), and the integrated report file stored within the user terminal (210) may also be stored in an encrypted form. Additionally, if the user wishes to share their integrated report externally, the system may be designed so that sharing is possible only after undergoing an explicit consent procedure from the user.

[0282] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include the operation of a processor receiving Heart Rate Variability (HRV) data measured during the progress of the Nth shooting session from a wearable device worn by a user, and the operation of the processor reflecting a parasympathetic nervous system activity index calculated from the heart rate variability data as an additional variable in the calculation of the Nth psychological index score, wherein only when the parasympathetic nervous system activity index is greater than or equal to a fourth threshold, an additional value is added to the psychological index score corresponding to homeostasis.

[0283] According to one embodiment, the electronic device (100) can receive Heart Rate Variability (HRV) data measured during the Nth shooting session from a wearable device worn by a user. According to one embodiment, "wearable device" may refer to a portable electronic device that can be worn on a user's body to measure biosignals, and may be implemented in various forms such as a smartwatch worn on the wrist (e.g., Apple Watch, Galaxy Watch, Garmin Watch), a heart rate monitor in the form of a chest strap worn on the chest (e.g., Polar H10), a ring-type health tracker worn on the finger (e.g., Oura Ring), or an earbud-type heart rate sensor worn on the ear.

[0284] Wearable devices can measure a user's heart rate activity through photoplethysmography (PPG) sensors or electrocardiogram (ECG) sensors. PPG sensors can extract heart rate signals from temporal changes in blood flow by irradiating light onto the skin from a light source (e.g., green LED, red LED, infrared LED) and measuring the amount of light reflected or transmitted from blood vessels using a photodetector. ECG sensors can obtain more precise heart rate signals by directly measuring the electrical activity of the heart through electrodes in contact with the skin. Generally, ECG sensors offer higher measurement precision than PPG sensors, but PPG sensors have the practical advantage of being universally applicable in wrist-worn devices.

[0285] According to one embodiment, "heart rate variability" may refer to a biosignal that quantifies the degree to which the time interval between consecutive heartbeats (RR interval or NN interval) varies over time. The human heart does not beat at constant intervals, but rather the beat intervals vary slightly depending on the balance between the sympathetic and parasympathetic nerves of the autonomic nervous system, and these variation patterns can be utilized as clinical indicators reflecting the autonomic nervous system state of the user. For example, even if two users have the same average heart rate of 70 beats per minute, one user's heart rate intervals may vary slightly to 0.85 seconds, 0.86 seconds, 0.84 seconds, and 0.87 seconds, while the other user's heart rate intervals may remain almost constant to 0.86 seconds, 0.86 seconds, 0.85 seconds, and 0.86 seconds; these variation patterns in beat intervals can be measured as heart rate variability to reveal the difference in the autonomic nervous system state between the two users.

[0286] Heart rate variability data can be transformed into various indicators through time domain and frequency domain analysis. In time domain analysis, indicators such as the standard deviation of RR intervals (SDNN), the root mean square of the difference between consecutive RR intervals (RMSSD), and the ratio of adjacent RR intervals differing by 50 milliseconds or more (pNN50) can be calculated. In frequency domain analysis, the RR interval time series is converted to the frequency domain to calculate power values ​​in the low frequency (LF, 0.04–0.15 Hz) and high frequency (HF, 0.15–0.40 Hz) bands. Generally, the HF band reflects parasympathetic nervous system activity, and the LF / HF ratio can be used as an indicator reflecting the balance between the sympathetic and parasympathetic nervous systems.

[0287] The frequency of heart rate variability measurement of a wearable device may vary depending on the device specifications and measurement mode. In one embodiment, the wearable device may measure a PPG signal at a sampling frequency of 100 Hz or more per second, and then detect an R-peak through a signal processing algorithm to generate an RR interval time series. In another embodiment, the wearable device may embed a heart rate variability calculation algorithm within its own firmware to directly calculate and output indicators such as SDNN and RMSSD at 1-minute or 5-minute intervals.

[0288] Data transmission between an electronic device (100) and a wearable device can be implemented through various communication protocols. In one embodiment, the wearable device is paired with a user terminal (210) via Bluetooth Low Energy (BLE) communication, and an application installed on the user terminal (210) can collect measurement data from the wearable device in real time and then relay it to the electronic device (100). In another embodiment, the wearable device may transmit data directly to the electronic device (100) via its own Wi-Fi or cellular communication module. The data transmission method can be implemented as any one of a batch transmission method after the end of a shooting session, a method of periodically transmitting accumulated data at regular time intervals, or a method of real-time streaming simultaneously with measurement.

[0289] The electronic device (100) can perform a preprocessing process on the received heart rate variability data. In one embodiment, the electronic device (100) can exclude data points where the difference between adjacent RR intervals exceeds a predefined threshold (e.g., ±20% relative to the mean value) in order to remove outliers from the received RR interval time series. Additionally, if there is a section where noise is introduced into the PPG signal due to vigorous physical movement of the user during a shooting session, the device can detect motion artifacts and exclude or interpolate the data in that section.

[0290] The measurement of heart rate variability data may be performed continuously during the shooting session, and may be analyzed separately at the time of firing and at the resting time between firings. In one embodiment, the electronic device (100) may separately calculate the heart rate variability during the entire shooting session, the heart rate variability during the 5-second interval immediately before firing, and the heart rate variability during the 5-second interval after firing, thereby analyzing the effect of the user's firing behavior on the autonomic nervous system from various angles. In another embodiment, the electronic device (100) may measure the amount of change that the shooting activity itself brings to the user's autonomic nervous system by comparing the baseline heart rate variability measured in the resting state immediately before the start of the shooting session with the heart rate variability during the shooting session.

[0291] The electronic device (100) can map and store the received heart rate variability data in memory (120) along with a user identifier, round number, measurement time, and measurement device information. The stored data can be used as input for calculating parasympathetic nervous system activity indicators in subsequent operations, and can also be used to analyze the trend of changes in the user's autonomic nervous system as rounds accumulate. Additionally, as heart rate variability data from multiple users accumulates, the electronic device (100) can calculate the average heart rate variability pattern of the user group and use it to convert the measurement value of a new user into a relative position within the group.

[0292] The accuracy of heart rate variability measurement may be affected by the type of wearable device, the wearing position, the user's body shape, and skin condition. Therefore, in one embodiment of the present invention, a separate correction factor may be applied according to the type of wearable device and the measurement precision grade, and when a user selects a device model during pre-registration, a correction factor suitable for that model may be automatically retrieved from memory (120) and applied to a subsequent calculation operation. This device-specific correction mechanism enables the present invention to provide consistent measurement results in various wearable device environments.

[0293] According to one embodiment, the electronic device (100) incorporates a parasympathetic nerve activity index calculated from heart rate variability data as an additional variable in the calculation of the Nth psychological indicator score, and may add a value to the psychological indicator score corresponding to homeostasis only when the parasympathetic nerve activity index is greater than or equal to a fourth threshold. According to one embodiment, the "parasympathetic nerve activity index" may refer to a value that quantifies the level of activity of the parasympathetic nerve branch among the user's autonomic nervous system, and among the various indicators derived from heart rate variability analysis, an indicator having a strong correlation with parasympathetic nerve activity may be utilized.

[0294] Heart rate variability analysis results that can be used as indicators of parasympathetic nervous system activity may include RMSSD (Root Mean Square of Successive Differences), HF Power (High Frequency Power), and pNN50 (percentage of NN intervals differing by more than 50ms). In one embodiment, the electronic device (100) may use the RMSSD value as an indicator of parasympathetic nervous system activity. RMSSD may be defined as the square root of the difference between two adjacent RR intervals, and may be clinically verified as a time-domain indicator that best reflects the rapid fluctuation component of the parasympathetic nervous system.

[0295] According to one embodiment, the electronic device (100) may utilize HF power values ​​as an indicator of parasympathetic nervous activity. HF power may refer to power values ​​calculated in a frequency band of 0.15 Hz or higher and 0.40 Hz or lower through Fast Fourier Transform (FFT) or Autoregressive (AR) model analysis on an RR interval time series, and parasympathetic nervous activity may be directly quantified by measuring heart rate fluctuations in a frequency band that matches the breathing cycle. In another embodiment, the electronic device (100) may calculate an integrated parasympathetic nervous activity indicator by weighting the RMSSD and HF power.

[0296] The absolute value of the calculated parasympathetic nervous system activity index may have different meanings for each user. This is because even the same RMSSD value can have different meanings depending on age, gender, physical fitness level, and usual exercise habits. Therefore, in one embodiment of the present invention, the electronic device (100) can store normal range data based on the user's prior registration information (e.g., age, gender) in memory (120) and calculate a standardized parasympathetic nervous system activity index for each user. For example, the electronic device (100) can calculate a normalized index in the form of a Z-score by utilizing the average value and standard deviation of the normal RMSSD range corresponding to the user's age group.

[0297] According to one embodiment, the "fourth threshold" may refer to a reference value for determining whether the parasympathetic nervous system activity indicator satisfies the conditions for assigning an additive value to the homeostasis score. The fourth threshold may be pre-set by an operator and may be determined based on a clinical normal range, the average distribution of a user group, or cumulative data per user. In one embodiment, when using RMSSD as the parasympathetic nervous system activity indicator, the fourth threshold may be set to 30 milliseconds, and for users with an RMSSD value of 30 milliseconds or more, it is determined that the parasympathetic nervous system is sufficiently activated and an additive value may be assigned. In another embodiment, when using a normalized Z-score, the fourth threshold may be set to a value such as 0 (average value) or +0.5 (a level higher than the average by at least 0.5 standard deviations).

[0298] The electronic device (100) may assign an additive value to the psychological indicator score corresponding to homeostasis only when the parasympathetic nervous system activity index is greater than or equal to the fourth threshold. According to one embodiment, the "additive value" may refer to a correction value that is additionally added to the calculated basic psychological indicator score of homeostasis, and may be set in the form of a positive integer or a positive real number. For example, the additive value may be set as a fixed value such as 5 points, 7 points, or 10 points, or may be dynamically determined in proportion to the degree to which the parasympathetic nervous system activity index exceeds the fourth threshold.

[0299] In an embodiment where the additive value is dynamically determined, the electronic device (100) can determine the additive value by calculating the difference between the parasympathetic nervous system activity index and the fourth threshold, and then multiplying the difference value by a proportionality coefficient. For example, if the RMSSD is 50 milliseconds, the fourth threshold is 30 milliseconds, and the proportionality coefficient is 0.5, the additive value can be calculated as (50 - 30) × 0.5 = 10 points. Additionally, an upper limit is applied to the additive value so that the homeostasis score does not rise excessively even when the parasympathetic nervous system activity index is measured abnormally high (e.g., measurement error or extreme value due to specific constitution).

[0300] The reason why parasympathetic nervous system activity indicators are combined with psychological indicator scores corresponding to homeostasis may be due to a strong clinical correlation between parasympathetic activity and the psychological construct of homeostasis. According to one embodiment, "homeostasis" may refer to the ability to maintain a consistent psychological state without being swayed by external stimuli or fluctuations in results, and at the level of the autonomic nervous system, it may directly correspond to the function of the parasympathetic nervous system, which rapidly stabilizes stress responses and maintains a state of equilibrium. A user in a state of parasympathetic activation may have excessive excitement responses to external stimuli suppressed and maintain a physically calm and stable state, making it highly likely that they will maintain a consistent psychological tone even in the face of shaking or fluctuations in results during shooting performance.

[0301] Based on such clinical rationality, the present invention can ensure multi-layered reliability in measuring user homeostasis by additionally combining not only quantitative indicators derived from self-reported response values ​​and shooting performance data, but also parasympathetic activity, an objective biosignal at the level of the autonomic nervous system. Since self-reporting reflects the user's subjective perception, shooting performance data reflects behavioral manifestations, and parasympathetic activity reflects the physiological state of the autonomic nervous system, a homeostasis score combining these three measurement dimensions can reflect the user's actual homeostatic ability more precisely than an evaluation relying on a single measurement dimension.

[0302] The electronic device (100) may not add a value to the homeostasis score if the parasympathetic nerve activity index is less than the fourth threshold. However, even in this case, the basic homeostasis score may still be validly utilized, and the user's homeostasis score may not be negatively evaluated or deducted. That is, the reflection of the parasympathetic nerve activity index in this operation acts only as an upward correction to the user's homeostasis score, and the design may be user-friendly in that it does not disadvantage a user whose parasympathetic nerve activity is measured as low due to measurement errors or temporary deterioration of condition.

[0303] The electronic device (100) may transparently provide the results of the reflection of the parasympathetic nervous system activity index to the user. In one embodiment, the base value and the additive value of the homeostasis score may be separately displayed in an integrated report or graph interface, allowing the user to recognize how their stable state contributed to the homeostasis score at the level of the autonomic nervous system. In another embodiment, how the parasympathetic nervous system activity index has changed over time may be visualized in a separate graph, allowing the user to track the trend of their autonomic nervous system stability pattern.

[0304] The above-described operation can be extended to various modified embodiments. In one embodiment, the electronic device (100) can comprehensively calculate not only the parasympathetic nervous system activity index but also the sympathetic nervous system activity index (e.g., LF power) and the autonomic nervous system balance index (e.g., LF / HF ratio), and differentially reflect this in other psychological item scores in addition to the homeostasis score. In another embodiment, if the amount of change in the parasympathetic nervous system activity index between rounds is above a certain level in the positive direction, it may be used as an additional condition to identify the homeostasis item as a target for reinforcement.

[0305] Additionally, according to one embodiment, the electronic device (100) may determine whether to assign an additive value by calculating the measurement reliability of the parasympathetic nervous system activity index together. The measurement reliability may be calculated based on the ratio of missing data in the RR interval time series, the ratio of motion artifacts, the sufficiency of the measurement time, etc., and if the measurement reliability is below a predefined reliability threshold, the parasympathetic nervous system activity index may not be reflected in the calculation of the homeostasis score. This reliability-based filtering may function as a safety device to prevent incorrect score correction due to measurement errors.

[0306] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include the operation of the processor receiving pupil data of the user measured during the progress of the Nth shooting session from the front camera of the user terminal or an eye-tracking device worn by the user, and the operation of the processor calculating the rate of change of pupil diameter during a preset time interval immediately before firing from the pupil data, converting the average value of the rate of change of pupil diameter into an attention concentration index, and reflecting the attention concentration index as an additional variable in the calculation of a psychological index score corresponding to self-confidence.

[0307] According to one embodiment, the electronic device (100) may receive pupil data of the user measured during the Nth shooting session from the front camera of the user terminal (210) or from an eye-tracking device worn by the user. According to one embodiment, "pupil data" may refer to a set of data regarding the size, location, shape, and variation pattern of the pupil obtained by photographing the user's eye area or measuring it through an infrared light source, and may be expressed in the form of time-series data in which changes in the diameter of the pupil are recorded along a time axis.

[0308] The front camera of the user terminal (210) is generally an optical camera for capturing the user's face and may be standardly mounted on a smartphone, tablet computer, laptop computer, etc. In one embodiment, the front camera of the user terminal (210) can continuously capture images of the user's face at a frame rate of 30 fps or more, extract an eye region of interest through a face recognition algorithm in each frame, and then calculate the center coordinates and diameter of the pupil through a pupil detection algorithm. Various computer vision techniques such as the Hough Circle Transform, integral image-based detection, and convolutional neural network (CNN)-based pupil segmentation may be utilized as pupil detection algorithms.

[0309] The precision of pupil measurement using the front camera of the user terminal (210) may be affected by the camera's resolution, lighting conditions, distance between the user and the camera, and the user's viewing angle. Since a general optical camera operates in the visible light range, the brightness of the pupil may vary depending on the surrounding lighting, and pupil detection may become difficult in dark environments. To compensate for these limitations, in one embodiment, the display of the user terminal (210) may be used as a light source to illuminate the user's face with a constant brightness and then perform pupil detection, and in another embodiment, an infrared camera (e.g., Face ID module) mounted on the user terminal (210) may be used to perform pupil measurement regardless of lighting conditions.

[0310] The eye tracking device is an optical measuring device specialized for pupil measurement and can provide higher measurement precision and sampling frequency than the front camera of the user terminal (210). For example, the eye tracking device can be implemented in various forms, such as a form integrated into a head-mounted display (HMD) (e.g., HTC Vive Pro Eye, Meta Quest Pro), a desktop form attached to the bottom of a monitor (e.g., Tobii Eye Tracker), or a wearable form in the form of glasses (e.g., Tobii Pro Glasses, Pupil Labs Core). The eye tracking device generally uses an infrared LED as a light source to irradiate infrared light onto the user's eye and analyzes the positional relationship between the infrared pattern (Purkinje image) reflected from the cornea and the pupil to simultaneously calculate the user's gaze direction and pupil diameter.

[0311] The sampling frequency of the eye-tracking device can vary, such as 60 Hz, 120 Hz, 250 Hz, or 1000 Hz, depending on the class of the device, and the resolution of the pupil diameter measurement can have a precision of 0.01 millimeters or less. In one embodiment of the present invention, the method of data processing in subsequent operations can be adaptively adjusted depending on which measurement device the user uses. For example, when using the front camera of the user terminal (210), noise removal filtering and sampling interpolation may be additionally applied, and when using the eye-tracking device, the raw data may be used directly for analysis.

[0312] In the present invention, the measurement time of pupil data can be set to be during the Nth shooting session. That is, pupil data can be continuously measured during the entire period from the moment the user assumes a shooting stance and aims at the target until the moment the firing is completed, and the measured data can be stored in memory (120) along with time information. In one embodiment, the time series of pupil data may be composed of a record sequence including fields such as measurement time, pupil diameter, X coordinate of the pupil center, Y coordinate of the pupil center, and pupil detection confidence score.

[0313] The method of data transmission between the electronic device (100) and the pupil measurement device can be implemented in various ways depending on the type of device. When the front camera of the user terminal (210) is utilized, pupil detection is performed within the user terminal (210), and only the result can be transmitted to the electronic device (100). When an eye tracking device is utilized, wired transmission via a USB cable or wireless transmission via Bluetooth or Wi-Fi is possible, and the transmitted data can reach the electronic device (100) via the user terminal (210) or reach the electronic device (100) directly.

[0314] The electronic device (100) can perform various preprocessing steps on the received pupil data. In one embodiment, the electronic device (100) can identify a section in the pupil data where the pupil is not detected due to the user's natural blinking, and can exclude the data in that section or correct it using linear interpolation utilizing the pupil diameter values ​​immediately before and after. Additionally, if there is a section where the user's gaze is out of the camera's field of view due to adjusting the shooting posture, etc., the section with low pupil detection reliability can be excluded.

[0315] The electronic device (100) can collect measurement environment information of the pupil data and reflect it in the analysis. Since pupil diameter is significantly affected by external lighting intensity (contracting in bright environments, expanding in dark environments), it may be difficult to accurately measure the user's cognitive state based solely on the absolute value of the pupil diameter. Therefore, in one embodiment, the electronic device (100) can collect illumination information in the user's shooting environment through an illumination correction function embedded in the illumination sensor of the user terminal (210) or the eye tracking device, and after correcting the change in pupil diameter due to the change in illumination, it can extract only the change in pupil diameter due to cognitive change.

[0316] The electronic device (100) can store the received pupil data in memory (120) by mapping it along with a user identifier, session number, measurement time, measurement device information, and measurement environment information (illumination, distance, etc.). The stored data can be used as input for calculating the rate of change in pupil diameter and converting the attention concentration index in subsequent operations, and can also be used to analyze the trend of changes in the user's attention concentration pattern as sessions accumulate. Additionally, as pupil data from multiple users accumulates, the electronic device (100) can calculate the average pupil response pattern of the user group and use it to convert the measurement value of a new user into a relative position within the group.

[0317] Additionally, in one embodiment of the present invention, the electronic device (100) can perform a pupil measurement calibration procedure upon prior registration of the user. In the calibration procedure, the user is guided to gaze sequentially at marked points located at a certain distance, and pupil data at the time of gazing at each point is measured so that a reference pupil diameter and a measurement calibration coefficient for each user can be calculated. This prior calibration data is stored in the memory (120) as part of the user profile, thereby enabling precise pupil data analysis that reflects the individual characteristics of the user in subsequent measurements.

[0318] According to one embodiment, the electronic device (100) calculates the rate of change of pupil diameter during a pre-set time interval immediately before firing from pupil data, converts the average value of the rate of change of pupil diameter into an attention concentration index, and can reflect the attention concentration index as an additional variable in the calculation of a psychological index score corresponding to self-confidence. According to one embodiment, the "pre-set time interval immediately before firing" may refer to a period of a certain amount of time immediately before the user performs firing, and, for example, may be set as a period of 1 second, 2 seconds, 3 seconds, or 5 seconds before the time of firing. This time interval may be set to be the same as the time interval immediately before firing, or it may be set separately to suit the characteristics of pupil measurement.

[0319] According to one embodiment, the "rate of change of pupil diameter" may refer to a value that quantifies the degree to which the pupil diameter changes over time during the time interval immediately preceding firing. The rate of change of pupil diameter may be defined by various calculation methods, and in one embodiment, it may be calculated as the value obtained by dividing the difference between the pupil diameter at the start time of the time interval immediately preceding firing and the pupil diameter at the end time by the length of the time interval (average rate of change). In another embodiment, it may be calculated as the average value of the absolute values ​​of the difference in pupil diameter between adjacent time points at all sampling points within the time interval (average absolute amount of change). In yet another embodiment, the rate of change may be defined by applying a first derivative to the pupil diameter time series within the time interval and then calculating the average of the absolute values.

[0320] The electronic device (100) can calculate the rate of change in pupil diameter immediately before firing for each firing within a shooting session. For example, if 30 firings are performed in the Nth shooting session, the electronic device (100) can calculate 30 values ​​of the rate of change in pupil diameter immediately before firing. The 30 calculated values ​​can be used as time-series indicators to reflect what cognitive state the user was in at each firing point during the shooting session.

[0321] The average value of the calculated rate of change in pupil diameter can be converted into an attention index. According to one embodiment, the "attention index" may refer to a value that quantifies how much the user focused on gazing at the target and the act of firing during shooting. The conversion to an attention index may be a procedure to map the meaning of the rate of change in pupil diameter to an intuitive scale. In general, in the field of cognitive science, minute changes in pupil diameter are known to have a strong positive correlation with cognitive load, and a pupillary dilation response, in which the pupils slightly dilate when the user is engrossed in a difficult cognitive task, can be observed.

[0322] However, the meaning of the rate of change in pupil diameter during the time interval immediately preceding firing may be differentiated depending on the context of the user's shooting performance. If the user is stably concentrating on the target, the rate of change in pupil diameter appears small, which may indicate that a stable cognitive state is being maintained; conversely, if the rate of change appears large, it may indicate that the user is distracted or that cognitive burden is fluctuating rapidly. Therefore, in one embodiment of the present invention, the attention concentration index may be transformed so that it has a higher value as the average value of the rate of change in pupil diameter decreases. For example, the attention concentration index may be mapped to a scale of 0 to 100, such as by normalizing the average value of the rate of change and subtracting it from 100, taking the reciprocal of the rate of change and normalizing it, or inputting the rate of change into a negative exponential function.

[0323] In another embodiment, the attention level indicator may be transformed by interpreting the meaning of the pupil diameter change rate differently. For example, if a pattern of gradual pupil dilation (a pattern of cognitive immersion enhancement) is observed during the time interval immediately preceding triggering, it may be transformed into high attention level, and if a pattern of random pupil fluctuation is observed, it may be transformed into low attention level. This transformation may comprehensively consider multi-layered characteristics such as the directionality of the rate of change, temporal pattern, and consistency of fluctuation, as well as the average value of the pupil diameter change rate, and may be performed through a transformation function defined by the operator or a machine learning-based transformation model.

[0324] According to one embodiment, the "psychological indicator score corresponding to self-confidence" may refer to the Nth psychological indicator score of the calculated self-confidence item, and may refer to a quantitative evaluation value of the psychological ability of a user to trust their own preparation and judgment without relying on external evaluations or results. The reason the attention level indicator is reflected as an additional variable in the calculation of the psychological indicator score corresponding to self-confidence may be that the user's ability to stably focus on their senses and preparation without being swayed by anxiety about external stimuli or results at the moment immediately before triggering can be viewed as a behavioral manifestation of self-confidence.

[0325] Users with high self-confidence focus stably on the target and their aiming sense immediately before firing, which can manifest as a consistent, stable pattern of pupil diameter. Conversely, users with low self-confidence experience fluctuations in cognitive load immediately before firing due to anxiety regarding external evaluation, worry about the outcome, and doubt about their own judgment, which can manifest as an unstable pattern of pupil diameter fluctuation. Therefore, an attention index derived from the rate of change in pupil diameter can function as an objective measure that reinforces the user's level of self-confidence at the level of behavioral data.

[0326] The electronic device (100) can reflect the attention index in various ways in the calculation of a psychological index score corresponding to self-confidence. In one embodiment, the electronic device (100) can add an additive value proportional to the attention index to the calculated basic psychological index score of self-confidence. In another embodiment, the electronic device (100) may include the attention index as an additional variable in the weighted combination calculation formula of the self-confidence item itself, and calculate the self-confidence score through a weighted average together with the aiming stability index and the response value of the item mapped to the self-confidence item. For example, the self-confidence score may be calculated as a weighted sum by applying a weight of 0.2 to the aiming stability index, a weight of 0.5 to the response value, and a weight of 0.3 to the attention index, respectively.

[0327] The electronic device (100) can adjust the degree of reflection of the attention concentration index according to the measurement reliability of each user. In one embodiment, if the reliability of pupil measurement using the front camera of the user terminal (210) is below a certain level, the weight of the attention concentration index may be reduced or the attention concentration index may be excluded from the calculation of the self-confidence score. In another embodiment, if the user uses high-precision measurement equipment such as an eye-tracking device, the weight of the attention concentration index may be increased so that the measurement precision is appropriately reflected in the self-confidence score.

[0328] The electronic device (100) may transparently provide the user with the results of the reflection of the attention level indicator. In one embodiment, the base value of the self-confidence score and the attention level-based correction value may be separately displayed in an integrated report or graph interface, allowing the user to recognize how their cognitive attention patterns contributed to the self-confidence score. In another embodiment, the trend of change in the attention level indicator by session may be visualized in a separate graph, allowing the user to track the development of their concentration ability.

[0329] The use of the rate of change in pupil diameter as a cognitive science measurement indicator in this invention is based on the fact that in the fields of clinical cognitive psychology and cognitive neuroscience, pupil measurement is utilized as an objective biomarker that reflects unconscious cognitive states regardless of the user's conscious awareness. While a user's conscious reporting of their state of concentration may involve self-awareness bias, pupil response is an unintentional reaction occurring under the control of the autonomic nervous system; therefore, it can provide objective data that is beyond the user's conscious control. Accordingly, the use of attention indicators in this action can signify the completion of a multi-layered self-confidence measurement system that combines self-reporting and behavioral measurement with cognitive neuroscience measurements.

[0330] Additionally, in one embodiment of the present invention, the electronic device (100) can separately track the change in the attention level index between rounds and analyze the long-term developmental trend of the user's attention level ability. If the user shows a trend of gradually improving the attention level index as rounds pass, the electronic device (100) can prioritize selecting phrases that reflect the user's cognitive development when generating mental recovery sentences, and, for example, a message such as "While engaging in shooting, your gaze is gradually settling stably on the target and your senses" can be generated.

[0331] In addition, in one embodiment of the present invention, the electronic device (100) can further enhance the precision of the attention index by analyzing the pupil position stability index (pattern of fine eye movement) together with the pupil diameter change rate. For a user whose gaze is stably fixed on one point, the pupil position shows small fluctuations, whereas for a user whose gaze is distracted, the pupil position may move frequently. An integrated attention index that combines this gaze stability and pupil diameter change rate can be utilized as a multi-layered measurement value that can more precisely reflect the user's cognitive state.

[0332] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include the operation of a processor receiving Electrodermal Activity (EDA) data measured during the progress of an Nth shooting session from a wearable device worn on a user's wrist, and the operation of the processor calculating the amplitude of the Skin Conductance Response (SCR) that occurred at the time of firing from the Electrodermal Activity data, and reflecting an emotional stability index normalized such that the smaller the average value of the amplitude, the higher the value, as an additional variable in the calculation of a psychological index score corresponding to the resilience.

[0333] According to one embodiment, an electronic device (100) may receive Electrodermal Activity (EDA) data measured during the Nth shooting session from a wearable device worn on the wrist of a user. According to one embodiment, "Electrodermal Activity" may refer to a biosignal that measures changes in electrical conductivity occurring in the user's skin, and may also be referred to by terms such as Galvanic Skin Response (GSR), Skin Conductance, and Electrodermal Response. Electrodermal Activity may be determined by the activity of the sweat glands of the human body, and since sweat glands are organs that are exclusively controlled by the sympathetic nervous system, changes in Electrodermal Activity may be used as clinical indicators that directly reflect the user's sympathetic nervous system activity.

[0334] Wrist-worn wearable devices can be implemented as various types of portable electronic devices equipped with EDA measurement capabilities. Examples include smartwatches equipped with EDA sensors (e.g., Empatica E4 Wristband, Empatica EmbracePlus, Garmin Venu, Fitbit Sense), wristbands for EDA measurement (e.g., Empatica EmbracePlus, BIOPAC EDA Module), and wrist-attached patch sensors. These devices can acquire EDA signals by applying a minute current through two or more electrodes in contact with the skin on the inside of the user's wrist and measuring the electrical resistance of the skin (or its inverse, conductivity).

[0335] The measurement principle of the EDA signal can be explained as follows. Eccrine sweat glands may be densely concentrated in areas of the human body such as the palms, soles, and inner wrists, and these glands may secrete minute amounts of sweat in response to emotional stimuli or cognitive loads. When the secreted sweat reaches the surface of the skin, the electrical conductivity of the skin temporarily increases, and by measuring this change in conductivity between two electrodes, the user's emotional arousal state can be measured non-invasively. The measurement unit may be microsiemens (μS) or micromho (μmho), and generally, the EDA value in a resting state can be in the range of 1 to 10 μS.

[0336] The EDA signal may consist of two components. The first component is the Skin Conductance Level (SCL), which may refer to a basal conductivity level that fluctuates slowly over time and may be an indicator reflecting the user's overall arousal state. The second component is the Skin Conductance Response (SCR), which may refer to a rapid conductivity fluctuation that occurs temporarily in response to a specific stimulus or event and may generally reach a peak between 1 and 5 seconds after the stimulus occurs and then gradually recover.

[0337] The sampling frequency for EDA measurements of wrist-worn wearable devices can generally be set in a range of 4 Hz to 32 Hz. For example, the Empatica E4 Wristband measures EDA data at a sampling frequency of 4 Hz, while research devices for more precise measurements (e.g., BIOPAC MP160) can provide a sampling frequency of 1000 Hz or higher. Since changes in EDA signals occur relatively slowly, clinically sufficient measurements may be possible with only a sampling frequency of about 4 Hz; however, a higher sampling frequency may be advantageous for precise analysis of short time units, such as the moment of trigger.

[0338] Data transmission between an electronic device (100) and a wrist-worn wearable device can be implemented using various communication methods. In one embodiment, the wearable device is paired with a user terminal (210) via Bluetooth Low Energy (BLE) communication, and after streaming the measured EDA signal to the user terminal (210) in real time, the user terminal (210) can relay the data to the electronic device (100). In another embodiment, the wearable device can accumulate and store EDA data during a shooting session in its own memory and then transmit it in batches at the end of the shooting session.

[0339] The accuracy of EDA measurement may be affected by the user's skin condition, the contact condition between the electrode and the skin, and the ambient temperature and humidity. For example, if the user's wrist skin is very dry, the EDA signal may be measured as small, and if the user is in a very humid environment, the basal conductivity may rise abnormally. Therefore, in one embodiment of the present invention, the electronic device (100) may provide an interface that guides the user to check the wearing status of the wearable device and the condition of the wrist skin immediately before starting the EDA measurement, and may induce the user to start the measurement after adjusting the device position according to the guidance.

[0340] The electronic device (100) can perform various preprocessing steps on the received EDA data. In one embodiment, the electronic device (100) can remove high-frequency noise by applying a low-pass filter to the received raw EDA signal, and the cutoff frequency can be set to 1 Hz or 2 Hz. Additionally, motion artifacts that occur when a user suddenly moves their wrist or the device is temporarily disconnected during a shooting session can be detected, and the data in the corresponding section can be excluded or interpolated.

[0341] The electronic device (100) can perform a decomposition process to separate SCL components and SCR components from the EDA signal. In one embodiment, the electronic device (100) can separate the raw EDA signal into SCL and SCR by applying a decomposition algorithm that is standardly used in the field of clinical EDA analysis, such as cvxEDA and Ledalab. The decomposed SCL shows the trend of change in the user's overall level of arousal, and the decomposed SCR can show transient conductivity fluctuations that occurred in response to specific events, such as the time of triggering.

[0342] The electronic device (100) can store the received EDA data in memory (120) by mapping it along with a user identifier, round number, measurement time, measurement device information, SCL component, and SCR component. The stored data can be used as input for calculating the SCR amplitude at the time of firing and normalizing the emotional stability index in subsequent operations, and can also be used to analyze the trend of changes in the user's emotional response pattern as rounds accumulate. Additionally, as EDA data from multiple users accumulates, the electronic device (100) can calculate the average SCR pattern of the user group and use it to convert the measurement value of a new user into a relative position within the group.

[0343] Additionally, in one embodiment of the present invention, the electronic device (100) may perform an EDA measurement calibration procedure upon user pre-registration. In the calibration procedure, the EDA may be measured while the user rests in a stable state for a certain period of time (e.g., 5 minutes) to calculate a baseline EDA level for each user, and subsequently, the amplitude of the SCR occurring after a short emotional stimulus (e.g., strong sound or image) is presented may be measured so that the degree of SCR response for each user may be registered as a reference value. This pre-calculation data may be stored in memory (120) as part of the user profile, thereby enabling precise EDA analysis that reflects individual user characteristics in subsequent measurements.

[0344] According to one embodiment, the electronic device (100) calculates the amplitude of the Skin Conductance Response (SCR) that occurs at the time of firing from skin electrical activity data, and can reflect an emotional stability index, normalized so that the smaller the average value of the amplitude, the higher the value, as an additional variable in the calculation of a psychological index score corresponding to resilience. According to one embodiment, "time of firing" may refer to the time when the user pulls the trigger during a shooting session and the firing actually occurs, and may be synchronized with the time information of the bullet impact point coordinates collected for each time of firing.

[0345] According to one embodiment, "amplitude of skin conduction response" may refer to the magnitude of conductivity fluctuation measured in an SCR event that occurs within a certain time interval based on the time of trigger. In one embodiment, if an SCR peak is detected within a time interval from 1 second after the time of trigger to 5 seconds after the time of trigger, the difference between the starting conductivity value and the peak conductivity value of the corresponding SCR event may be calculated as the SCR amplitude. For example, if the EDA value at the time of trigger is 3.2 μS and the SCR peak is measured as 4.1 μS at 2.5 seconds after trigger, the SCR amplitude for the corresponding trigger may be calculated as 0.9 μS.

[0346] The electronic device (100) can calculate the SCR amplitude for each of the firing points within a firing session. For example, if 30 firings are performed in the Nth firing session, the electronic device (100) can calculate the SCR amplitude value for each of the 30 firing points. In this case, a clear SCR event may not be detected at some firing points (the SCR peak is below a predefined detection threshold), in which case the SCR amplitude for the corresponding firing may be treated as 0 or the detection threshold value, or excluded from analysis.

[0347] Various signal processing algorithms can be utilized for detecting SCR amplitude. In one embodiment, the electronic device (100) can detect the point at which conductivity rises rapidly (SCR start point) by applying a first derivative to the EDA signal, and then identify the point at which the derivative value becomes zero (SCR peak point) to calculate the conductivity difference between the two points as the SCR amplitude. In another embodiment, the electronic device (100) may directly utilize the peak amplitude of the phasic component output from a standard decomposition algorithm, such as the cvxEDA algorithm, as the SCR amplitude.

[0348] The electronic device (100) can calculate an average value for 30 calculated SCR amplitude values. According to one embodiment, the “average value of amplitude” may mean the arithmetic average of the SCR amplitude values ​​calculated at every firing point within a shooting session, and may be a value that quantifies how much emotional response the user showed on average to the firing event during the shooting session. A user with a large average value of SCR amplitude may be interpreted as having shown a large emotional excitement response at every firing point, and a user with a small average value may be interpreted as having maintained a relatively stable emotional response to the firing event.

[0349] In the present invention, the average value of the calculated SCR amplitude can be normalized to an emotional stability index. According to one embodiment, the "emotional stability index" may refer to a value that quantifies the user's ability to maintain an emotionally stable state in response to a stimulus event called a trigger. The normalization process is a procedure for transforming the SCR amplitude so that the smaller the average value, the higher the emotional stability index value, and various transformation functions may be utilized.

[0350] In one embodiment, the emotional stability index can be calculated by normalizing the average value of the SCR amplitude by dividing it by a predefined maximum value and then subtracting it from 100. For example, if the predefined maximum value of the average SCR amplitude is 2.0 μS and the user's average SCR amplitude is 0.5 μS, the emotional stability index can be calculated as 100 - (0.5 / 2.0) × 100 = 75 points. In another embodiment, the emotional stability index can be calculated by taking the reciprocal of the average SCR amplitude and then normalizing it, by inputting it into a negative exponential function and converting it, or by converting it into a ratio relative to a user-specific correction reference value.

[0351] In addition, in one embodiment of the present invention, the emotional stability index may be calculated by reflecting the standard deviation of the SCR amplitude along with the average value of the SCR amplitude. Cases where a user consistently shows a small SCR with every firing (where both the average value and the standard deviation are small) and cases where a user shows a small SCR in only some firings and a large SCR in others (where the average value is similar but the standard deviation is large) can be interpreted as different emotional stability patterns. By reflecting consistency together, the emotional stability index can quantify the user's emotional response pattern more precisely.

[0352] According to one embodiment, the "psychological indicator score corresponding to resilience" may refer to the Nth psychological indicator score of the calculated resilience item, and may refer to a quantitative evaluation value of the psychological ability of a user to quickly recover to a stable state from negative results or stimulating events. The reason why the emotional stability index is reflected as an additional variable in the calculation of the psychological indicator score corresponding to resilience may be that each shot in a shooting session is a type of stimulating event, and the ability to maintain a stable autonomic nervous system state without exhibiting a large emotional excitement response to such stimulating events can be viewed as a manifestation of resilience at the autonomic nervous system level.

[0353] Users with high resilience rapidly stabilize their emotional arousal upon the occurrence of a trigger event, which can manifest as a small SCR amplitude. Conversely, users with low resilience experience a strong emotional response to the outcome of a trigger event (especially when a low score is obtained), and this emotional response can influence subsequent triggers, leading to the frequent detection of SCR events accompanied by large SCR amplitudes. Therefore, an emotional stability index derived from the average value of SCR amplitudes can function as an objective measure to reinforce the user's resilience level at the autonomic nervous system level.

[0354] The electronic device (100) can reflect the emotional stability index in various ways in the calculation of the psychological index score corresponding to resilience. In one embodiment, the electronic device (100) can add an additive value proportional to the emotional stability index to the calculated basic psychological index score of resilience. In another embodiment, the electronic device (100) can include the emotional stability index as an additional variable in the weighted combination calculation formula of the resilience item itself, and, for example, the resilience score can be calculated as a weighted sum by applying a weight of 0.3 to the performance stabilization index, a weight of 0.4 to the response value, and a weight of 0.3 to the emotional stability index, respectively.

[0355] The electronic device (100) can adjust the degree of reflection of the emotional stability index according to the user-specific measurement reliability. In one embodiment, if the EDA measurement reliability of the wrist-worn wearable device is below a certain level (e.g., if the motion artifact ratio is 30% or higher), the weight of the emotional stability index may be reduced or the emotional stability index may be excluded from the calculation of the resilience score. Additionally, the transformation function of the emotional stability index may be applied differentially according to the skin condition information (dry, normal, hyperhidrosis, etc.) reported by the user during pre-registration, and in the case of a user with hyperhidrosis, the emotional stability index may be calculated after correcting for the influence of the baseline EDA level.

[0356] The electronic device (100) may transparently provide the results of the reflection of the emotional stability index to the user. In one embodiment, the base value of the resilience score and the emotional stability-based correction value may be separately displayed in an integrated report or graph interface, allowing the user to recognize how their autonomic nervous system-level emotional response patterns contributed to the resilience score. In another embodiment, the trend of change in the emotional stability index by round may be visualized in a separate graph, allowing the user to track the developmental pattern of their emotional stability ability.

[0357] The use of SCR amplitude as an autonomic nervous system measurement indicator in this invention is based on the fact that EDA measurement is utilized in the fields of clinical psychology and psychophysiology as a standard method for quantifying autonomic nervous system responses that occur independently of the user's conscious awareness. While a user's conscious reporting of their emotional stability may include self-awareness bias or social desirability bias, the SCR measured through EDA is a signal generated by the unintentional activation of the sympathetic nervous system, and thus can provide objective data that is beyond the user's conscious control. Therefore, the use of emotional stability indicators in this operation can signify the completion of a multi-layered resilience measurement system that combines self-reporting, behavioral measurement, and autonomic nervous system measurement.

[0358] Additionally, in one embodiment of the present invention, the electronic device (100) can further enhance the precision of the emotional stability index by analyzing the SCR recovery time together with the SCR amplitude. The SCR recovery time may refer to the time from the SCR peak point until the conductivity recovers to the baseline level of the trigger point, and users with high resilience may exhibit not only a small SCR amplitude but also a short SCR recovery time. The integrated emotional stability index combining amplitude and recovery time can be utilized as a multi-layered measurement value that can more precisely reflect the user's resilience at the level of the autonomic nervous system.

[0359] Additionally, in one embodiment of the present invention, the electronic device (100) can separately analyze the correlation between the shooting result (particularly a firing that resulted in a low score) and the SCR amplitude. Users with high resilience may exhibit a pattern where no large SCR occurs despite a low score, or if it does occur, it stabilizes quickly, while users with low resilience may exhibit a pattern where a very large SCR occurs for a low score and the effect persists. This shooting result-SCR correlation can be used as an additional discriminative indicator for measuring resilience and can further improve the precision of the resilience score.

[0360] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include the operation of a processor receiving, respectively, the alpha wave band amplitude of the left frontal lobe region and the alpha wave band amplitude of the right frontal lobe region measured during the progress of the Nth shooting session from a brainwave measurement device worn by a user, and the operation of the processor calculating a frontal lobe asymmetry index by subtracting the natural logarithm of the alpha wave band amplitude of the right frontal lobe region from the natural logarithm of the alpha wave band amplitude of the left frontal lobe region, and if the frontal lobe asymmetry index has a negative value, determining that approach motivation is activated and assigning an additive value to a psychological indicator score corresponding to self-confidence.

[0361] According to one embodiment, the electronic device (100) can receive the alpha wave band amplitude of the left frontal lobe region and the alpha wave band amplitude of the right frontal lobe region, respectively, measured during the Nth shooting session from a brainwave measurement device worn by the user. According to one embodiment, the "brainwave measurement device" may refer to a portable or stationary electronic device that measures electrical activity generated in the cerebral cortex through electrodes attached to the surface of the user's scalp, and may be implemented in various forms, such as a single-channel measurement device for the forehead area (e.g., Muse headband), a multi-channel headset device (e.g., Emotiv EPOC X, OpenBCI Cyton), or a clinical multi-channel EEG system (e.g., BIOSEMI ActiveTwo, BrainVision actiCHamp).

[0362] A brainwave measurement device can record electrical activity of the cerebral cortex by measuring the potential difference between an electrode attached to the surface of the scalp and a reference electrode. The measured potential difference signal can generally be expressed in units of microvolts (V) and can be collected in the form of continuous time-series data along a time axis. According to one embodiment, the "frontal lobe region" is an area located at the front of the cerebral cortex and may refer to an area corresponding to electrode positions such as F3, F4, F7, F8, Fp1, Fp2, Fz, etc. according to the International 10-20 System. The left frontal lobe region may correspond, for example, to the location of channel F3 or channel Fp1, and the right frontal lobe region may correspond, for example, to the location of channel F4 or channel Fp2.

[0363] According to one embodiment, the "alpha wave band" may refer to a band corresponding to a frequency range of approximately 8 Hz or higher and 13 Hz or lower among the frequency classifications of brainwave signals. Alpha waves may be known to be most strongly expressed in the occipital lobe region when the user is awake yet in a relaxed state, and alpha waves measured in the frontal lobe region may have been reported in the field of affective neuroscience to have an inverse correlation with neural activity in that region. That is, strong measurement of alpha waves in a specific frontal lobe region may suggest that the neural activity of that region is in a suppressed or deactivated state, and weak measurement of alpha waves may suggest that the neural activity of that region is in a strongly activated state.

[0364] According to one embodiment, "alpha wave band amplitude" may refer to a value that quantifies the intensity of a frequency component corresponding to the alpha wave band and may be defined by various calculation methods. In one embodiment, the alpha wave band amplitude may be calculated as the average power spectral density (PSD) in the 8 Hz to 13 Hz band after applying a Fast Fourier Transform (FFT) to brainwave time series data to convert it into the frequency domain. In another embodiment, the alpha wave band amplitude may be calculated through various signal processing techniques such as spectrum estimation based on an autoregressive (AR) model, wavelet transform, and short-time fourier transform (STFT). For example, the average power of the brainwave signal measured in the user's left frontal lobe F3 channel in the 8–13 Hz band can be calculated as 12.5 µV², and the average power of the brainwave signal measured in the right frontal lobe F4 channel in the same time interval can be calculated as 9.8 µV².

[0365] The sampling frequency of an electroencephalogram (EEG) measurement device can be set to various values ​​depending on the class of the device, and for alpha wave measurement, a sampling frequency of 256 Hz or higher is generally recommended. For example, consumer devices such as the Muse headband may provide a sampling frequency of 256 Hz, Emotiv EPOC X may provide 256 Hz, and clinical devices may provide a sampling frequency of 1000 Hz or 2000 Hz. In one embodiment of the present invention, downsampling or interpolation in a subsequent signal processing step may be adaptively applied depending on the type of device.

[0366] The accuracy of brainwave measurement may be affected by artifacts such as the quality of electrical contact between the electrode and the scalp, electromagnetic noise in the measurement environment, and the user's body movements, eye movements, and blinking. Accordingly, in one embodiment of the present invention, the electronic device (100) may provide an interface that guides the user to perform an impedance check of the device before starting brainwave measurement, and may induce the user to start the measurement after properly attaching the electrode to the scalp in accordance with the guidance. In addition, since the measured raw brainwave signal may contain various artifacts, the electronic device (100) may calculate the alpha wave band amplitude after applying an artifact removal algorithm in a subsequent operation.

[0367] Data transmission between an electronic device (100) and a brainwave measurement device can be implemented using various communication methods. In one embodiment, the brainwave measurement device is paired with a user terminal (210) via Bluetooth Low Energy (BLE) communication, and an application installed on the user terminal (210) can receive brainwave data in real time and then relay it to the electronic device (100). In another embodiment, the brainwave measurement device may communicate directly with the user terminal (210) or the electronic device (100) via a wired USB connection or its own Wi-Fi module. The data transmission method can be implemented as a real-time streaming method during a shooting session, a batch transmission method after the shooting session ends, or a method of storing in the device's own memory and synchronizing later.

[0368] The electronic device (100) can perform various preprocessing steps on the received brainwave data. In one embodiment, the electronic device (100) can apply a band-pass filter to the raw brainwave signal to remove very slow fluctuations of less than 0.5 Hz and high-frequency noise of 50 Hz or higher. Additionally, a notch filter can be applied to remove power noise in the 60 Hz (or 50 Hz) band. An artifact removal algorithm based on Independent Component Analysis (ICA) may also be applied to remove artifacts caused by eye movements or blinking.

[0369] For the preprocessed brainwave signal, the electronic device (100) can calculate the amplitude of the alpha wave band in each channel of the left frontal lobe region and the right frontal lobe region. In one embodiment, the electronic device (100) can calculate the average alpha wave amplitude for the brainwave signal over the entire duration of the Nth shooting session, and in another embodiment, specific intervals such as the time interval immediately before firing or the pause interval between firings can be separated to calculate the alpha wave amplitude for each interval separately. The average value over the entire shooting session can reflect the user's overall emotional neural state, and the average value over the interval immediately before firing can reflect the immediate emotional neural state immediately before the firing act.

[0370] The electronic device (100) can map and store the calculated left and right frontal lobe alpha wave amplitudes in memory (120) along with a user identifier, round number, measurement time, measurement device information, measurement channel location, and calculation interval information. The stored data can be used in subsequent operations to calculate the frontal lobe asymmetry index and to assign an additive value to a psychological indicator score corresponding to self-confidence, and can also be used to analyze the trend of changes in the user's frontal lobe activation pattern when rounds are accumulated.

[0371] Additionally, in one embodiment of the present invention, the electronic device (100) may perform a brainwave measurement correction procedure upon user pre-registration. In the correction procedure, brainwaves may be measured while the user rests for a certain period of time (e.g., 3 minutes) in a stable state (a state of resting with eyes closed), and a baseline alpha wave amplitude for each user may be calculated. This pre-correction data may be stored in memory (120) as part of the user profile, enabling precise analysis reflecting individual user characteristics in subsequent measurements. The baseline value for each user may be used as a reference point for determining the relative position of the measurement value in subsequent analysis.

[0372] According to one embodiment, the electronic device (100) calculates a frontal asymmetry index by subtracting the natural logarithm of the alpha wave band amplitude of the right frontal lobe region from the natural logarithm of the alpha wave band amplitude of the left frontal lobe region, and if the frontal asymmetry index has a negative value, it is determined that the approach motivation is activated and can assign an additive value to the psychological indicator score corresponding to self-confidence. According to one embodiment, the "Frontal Alpha Asymmetry (FAA)" may refer to an indicator that quantifies the difference in alpha wave activity between the left frontal lobe region and the right frontal lobe region, and may be used as a standard indicator in the field of emotional neuroscience to reflect the activation state of the user's motivation system.

[0373] The calculation of the frontal lobe asymmetry index can be performed as shown in the following mathematical formula.

[0374] [Mathematical Formula 5]

[0375]

[0376] In mathematical formula 5 may refer to the frontal lobe asymmetry index calculated in the Nth shooting session, and The alpha wave band amplitude of the left frontal lobe region measured in the Nth shooting session, ☐ and ☐ can represent the alpha wave band amplitudes of the right frontal lobe region measured during the Nth shooting session, respectively. The reason for applying the natural logarithm to the alpha wave band amplitudes is that brainwave amplitude data generally follows a non-normal distribution, and the normality of the distribution can be ensured through natural logarithm transformation; this natural logarithm transformation may be a standard procedure applied in the analysis of frontal lobe asymmetry in the field of affective neuroscience.

[0377] The sign and magnitude of the frontal lobe asymmetry index can directly reflect the activation state of the user's synchronization system. If this value is negative, it may mean that the natural logarithm of the right frontal lobe alpha waves is smaller than the natural logarithm of the left frontal lobe alpha waves; consequently, this may imply that the alpha wave amplitude in the right frontal lobe region is relatively smaller than that in the left frontal lobe region. Since a small alpha wave amplitude implies strong neural activity in the corresponding region, When this value is negative, it can be interpreted as a state where neural activity in the right frontal lobe region is relatively stronger than in the left frontal lobe region.

[0378] However, in traditional interpretations within the field of affective neuroscience, Davidson’s asymmetric hypothesis may be established, which posits that left frontal lobe activation reflects approach motivation and right frontal lobe activation reflects withdrawal motivation. According to these academic standards, the sign definition of Equation 5 (subtracting the left natural logarithm from the right natural logarithm) may have a sign relationship opposite to general academic practice; therefore, in the present invention When this value is negative, it is interpreted as left frontal lobe activation dominance, that is, an approach-motivation activation state.

[0379] According to one embodiment, "approach motivation" may refer to an emotional state in which a user actively approaches and challenges external stimuli or goals, and may manifest in association with psychological characteristics such as confidence, a sense of challenge, goal orientation, and assertiveness. In the context of shooting performance, a user in a state where approach motivation is activated perceives the target as a challenge rather than an object to be avoided, and can engage in shooting with trust in their own preparation and senses, without fear of the firing result or avoidance reactions. This emotional attitude may have a strong clinical correlation with the "self-confidence" item; therefore, assigning an additive value to the psychological indicator score corresponding to self-confidence in a state of activated approach motivation may be an academically reasonable combination.

[0380] The electronic device (100) is produced An additive value may be assigned to the psychological indicator score corresponding to self-confidence only in cases where this has a negative value. The assignment of the additive value can be performed as shown in the following mathematical formula.

[0381] [Mathematical Formula 6]

[0382]

[0383] In mathematical formula 6 can mean the final value of the psychological indicator score corresponding to the Nth round of self-confidence, and may refer to the baseline value of the psychological indicator score corresponding to the calculated self-confidence, and can mean a preset scaling factor that determines the magnitude of the additive value. The function is As a function that returns the larger value between the value of and 0, Assign a positive additive value only when this is a negative value. When this is 0 or greater, the additive value becomes 0.

[0384] The structure of Equation 6 is similar to the form of the ReLU (Rectified Linear Unit) function used in neural networks, and by ensuring that the self-confidence score is corrected only in a state of left frontal lobe activation dominance, it is possible to implement a unidirectional correction mechanism that prevents users in a state of avoidance motivation dominance from being penalized. As an example This is -0.3 and If 'a' is 20, the bonus value is calculated as 20 × max(0, 0.3) = 6 points and can be added to the self-confidence base score. Conversely In the case of +0.2, the bonus value is calculated as 20 × max(0, -0.2) = 0 points, so the bonus value may not be assigned.

[0385] Scaling factor It can be pre-configured by the operator, and the average of the user group It can be determined as an appropriate value by considering the value distribution and the scale range of the self-confidence score. For example, the average of a user group When the values ​​show a distribution of -0.1 ± 0.3 and the self-confidence score scale is 0 to 100, The value is set to around 10 or 20, which is typical. It can be adjusted so that an additive value of about 0 to 6 points is assigned within the value range.

[0386] The reason the association between the frontal lobe asymmetry index and self-confidence holds academic validity is that Davidson’s hypothesis—that left frontal lobe activation dominance reflects approach motivation and positive emotions, while right frontal lobe activation dominance reflects avoidance motivation and negative emotions—may have been verified in numerous clinical studies within the field of emotional neuroscience. During shooting performance, users with high self-confidence are likely to exhibit a left frontal lobe activation dominance pattern (approach motivation) because they approach the act of firing itself and the target with an active and challenging attitude; conversely, users with low self-confidence are likely to exhibit a right frontal lobe activation dominance pattern (avoidance motivation) due to anxiety regarding the firing outcome and avoidant emotions.

[0387] Therefore, information on the approach motivation activation state derived from the frontal lobe asymmetry index can function as an objective measure that reinforces the precision of the self-confidence score from a neuroscientific perspective. Since self-reporting reflects the user's conscious awareness, shooting performance data reflects behavioral manifestation, and the frontal lobe asymmetry index reflects the activation state of the cerebral cortex's motivational system, the self-confidence score, which combines these three measurement dimensions, can reflect the user's actual level of self-confidence more precisely than an evaluation relying on a single measurement.

[0388] The electronic device (100) can adjust the degree of addition value assignment according to the measurement reliability of each user. In one embodiment, when the signal quality of the brainwave measurement device is below a certain level (e.g., when the artifact ratio is 30% or more, or when the impedance exceeds a threshold), the scaling factor of the addition value It can be reduced or the assignment of additive values ​​can be withheld. In addition, the baseline measured by the user at pre-registration A user-specific adaptive correction method may be adopted that utilizes the value as a reference point to calculate the additive value based on the change relative to the user's own base value, rather than the absolute value.

[0389] The electronic device (100) may transparently provide the result of the addition value assignment to the user. In one embodiment, the base value of the self-confidence score and the correction value based on the frontal lobe asymmetry index may be separately displayed in an integrated report or graph interface, so that the user may recognize how their neuroscientific motivational system state contributed to the self-confidence score. In another embodiment, by round The trend of value changes can be visualized in a separate graph, allowing users to track the development of their synchronization system activity patterns.

[0390] In the present invention, the use of the frontal lobe asymmetry index as an emotional neuroscientific measurement indicator can be based on a standard paradigm that has been verified for over 30 years by emotional neuroscientists, including Davidson. By objectively measuring the activation state of the cerebral cortex-level motivational system, which is difficult to capture solely through the user's conscious reports or external behaviors, the present invention can implement a multi-layered measurement system that integrates even the deepest level of neurophysiological grounds in the measurement of the psychological construct of self-confidence.

[0391] Additionally, in one embodiment of the present invention, the electronic device (100) can further enhance the precision of the self-confidence score by analyzing other brainwave indicators in addition to the frontal lobe asymmetry index. For example, the amplitude of beta waves (13–30 Hz) in the frontal lobe region may reflect the level of cognitive arousal, and the amplitude of gamma waves (30 Hz or higher) may reflect the level of attention concentration. In addition, the P300 Event-Related Potential (ERP) at the point immediately before triggering may reflect the user's confidence in their decision, and an integrated neural indicator that combines these various brainwave indicators may further enrich and expand the measurement dimensions of the self-confidence score.

[0392] In addition, in one embodiment of the present invention, the electronic device (100) [depends on] the quality of the shooting result The change patterns of can be analyzed separately. Even if users with high self-confidence receive low scores This may exhibit a pattern of rapidly recovering to a negative value (access motivation advantage), and users with low self-confidence regarding low scores It may exhibit a sustained pattern with this positive value (avoidance motivation dominance). This result is dependent. Change patterns can be utilized as additional discriminative indicators for measuring self-confidence and can further improve the precision of self-confidence scores.

[0393] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include: a processor activating a synchronization stimulus interface in which, during the progress of the Nth shooting session, the shooting results of a plurality of virtual users are continuously displayed on the display of a user terminal as a score lower than the average score for a certain period of time or longer; and a processor adding a social independence value to a psychological indicator score corresponding to self-confidence when the user maintains a score higher than the average score of a plurality of virtual users while the synchronization stimulus interface is activated.

[0394] According to one embodiment, the electronic device (100) may activate a conformity stimulus interface in which, during the progress of the Nth shooting session, the firing results of a number of virtual users are continuously displayed on the display of the user terminal (210) as scores lower than the average score for a certain period of time or longer. According to one embodiment, the "conformity stimulus interface" may refer to a user interface that intentionally creates an environment in which the user is subjected to psychological pressure to conform to information by visually exposing the user to social comparison information or group behavior information. The conformity stimulus interface may be a measurement environment inspired by the conformity experiment paradigm in the field of social psychology, and may be a system-level measurement device for measuring the user's ability to maintain their judgment in a social pressure situation.

[0395] According to one embodiment, "multiple virtual users" may refer to virtual user characters that are predefined or dynamically generated by the system, rather than actual other users. Each of the multiple virtual users may have a unique identifier, username, and avatar image, and may be displayed on the user's display along with the shooting result score. In one embodiment, the multiple virtual users may consist of three or more and five or fewer, which may correspond to the minimum group size required for the conformity effect to be sufficiently manifested in conformity experiments in social psychology. The usernames, avatars, and shooting results of the virtual users may be naturally configured so that they are perceived by the user as actual other users.

[0396] According to one embodiment, "virtual user's firing result" may refer to firing score or firing result data displayed as if each virtual user had performed a firing. The virtual user's firing result may be determined according to a scenario predefined by the system and may be intentionally displayed as a score lower than the average score in this operation. According to one embodiment, "average score" may refer to a reference value of the score that a user can typically achieve in a firing session, and may be determined, for example, as any one of the user's own average firing score from the 1st to the N-1st round, the overall average firing score of the user group, or a reference score pre-set by the operator.

[0397] According to one embodiment, "continuously displayed for a certain period of time" may mean that the virtual user's low score information is not exposed sporadically, but is continuously displayed on the screen for a certain period of time so that the user can sufficiently recognize the information and be affected by it. In one embodiment, the virtual user's low score information may be placed as a separate panel on the side or top of the display during the shooting session and continuously displayed for a period of 5 seconds or more, 10 seconds or more, or 30 seconds or more. In another embodiment, the virtual user's score information may be updated and displayed in real time at every firing point, and may be configured so that the user can recognize and compare their own firing results with the virtual user's firing results.

[0398] The specific visual configuration of the synchronized stimulus interface can be implemented in various forms. In one embodiment, the user's own firing results (current score, cumulative score) are displayed in the left area of ​​the display, and the usernames, avatars, and current scores of multiple virtual users may be displayed in a list format in the right area. If the virtual users' scores remain lower than the user's own scores, the user may recognize that their own score is relatively high, while simultaneously forming a synchronized perception that "everyone gets low scores at this level of difficulty."

[0399] According to one embodiment, the psychological effect of a "conformity stimulus" on a user can be explained as follows. As social beings, humans may exhibit a conformity tendency to align their judgments or behaviors with group norms, and this conformity tendency may manifest more strongly as confidence in one's own judgment diminishes. In a classic conformity experiment conducted by Solomon Asch in social psychology, it has been reported that when a subject is exposed to an environment where multiple other subjects (actually collaborators) provide incorrect answers despite the subject being in a visual task where the correct answer is clearly visible, the rate at which the subject abandons their own judgment and conforms to the majority opinion can be measured above a certain level.

[0400] In the present invention, the operation of activating the synchronization stimulus interface intentionally creates an environment for measuring whether the user's triggering behavior is influenced by social information, specifically the virtual user's low score, by exposing the user to such information. That is, if the user performs triggering in accordance with their usual senses and judgment, their score can be maintained at or above their average level without being influenced by the synchronization stimulus; however, if the user succumbs to synchronization pressure and unconsciously lowers their triggering performance level, their score may exhibit a pattern of converging toward the virtual user's low score.

[0401] The electronic device (100) can determine the activation time of the synchronized stimulus interface according to various criteria. In one embodiment, the electronic device (100) can activate the synchronized stimulus interface immediately after the Nth shooting session begins and continuously expose it throughout the entire session. In another embodiment, the electronic device (100) can activate the synchronized stimulus interface from the latter part of the shooting session (e.g., after 50% of the total number of shots) to measure how the user reacts when exposed to social pressure in the latter part after showing their natural performance pattern in the beginning.

[0402] The electronic device (100) can differentiate the activation frequency of the synchronized stimulus interface for each user. In one embodiment, the synchronized stimulus interface is not activated every time, but is activated only in some of the user's cumulative times (e.g., once every 5 times), thereby preventing the user from recognizing the pattern of the synchronized stimulus and intentionally responding. In another embodiment, the synchronized stimulus interface is activated only when the user has given prior consent, thereby ensuring the user's autonomy and ethical aspects.

[0403] Factors such as the degree to which a virtual user's score is lower than the average, the number of virtual users, and the frequency and method of displaying the score may be factors determining the intensity of the synchronization stimulus. In one embodiment, the electronic device (100) may display the virtual user's score at various levels, such as 10%, 20%, or 30% lower than the average score, and the higher the intensity of the synchronization stimulus, the clearer the discriminative power may be provided to the user's self-confidence measurement. However, a score that is too unrealistically low may cause the user to perceive that the virtual user is a system-generated character rather than a real user, so the intensity of the synchronization stimulus may need to be adjusted to an appropriate level.

[0404] The electronic device (100) can store activation information of the synchronized stimulus interface in memory (120) by mapping it along with user identifier, round number, activation time, activation duration, and virtual user score information. The stored information can be used in subsequent operations to analyze user trigger results in the synchronized stimulus situation and to assign social independence additive values.

[0405] Additional consideration may be required regarding the ethical aspects of this operation. Since the synchronization stimulus interface may provide the user with some false information (the perception that the virtual user is a real user), the user may be notified in advance through a prior consent procedure that the system may expose virtual user information for measurement purposes. Additionally, an option to disable the synchronization stimulus interface may be provided on the user terminal (210) if the user desires, and whether or not to apply the measurement tool may be determined based on the user's autonomous choice.

[0406] Additionally, in one embodiment of the present invention, the electronic device (100) may utilize a positive synergistic stimulus as a variation of the synergistic stimulus interface. For example, the results of a virtual user's trigger may be displayed as a score higher than the average to measure whether the user can maintain or improve their usual performance under social comparison pressure. This bidirectional synergistic stimulus measurement can be extended into a measurement system capable of evaluating the user's social independence in a multi-layered manner.

[0407] According to one embodiment, the electronic device (100) may assign a social independence additive value to a psychological indicator score corresponding to self-confidence when the user maintains a score higher than a certain average score of a number of virtual users while the synchronized stimulus interface is activated. This operation may be an operation that quantitatively measures the user's ability to maintain their judgment and performance level in situations of social pressure and reflects this in the self-confidence score.

[0408] According to one embodiment, "average score of multiple virtual users" may refer to the arithmetic mean of the trigger result scores of each of the multiple virtual users displayed on the synchronized stimulus interface. For example, if four virtual users each have trigger scores of 60, 65, 58, and 62, the average score of the virtual users may be calculated as 61.25. The average score of the virtual users may be dynamically updated at every trigger point during the time interval in which the synchronized stimulus is activated, and may be used for comparative analysis by synchronizing with the user's trigger point.

[0409] According to one embodiment, "maintaining a score higher than a certain score" may mean that the user maintains a gap of more than a certain score compared to the virtual user's average score throughout the time interval during which the synchronized stimulus is activated. In one embodiment, this condition may be determined to be satisfied if the user's trigger score is maintained at a state of being 5 points or higher than the virtual user's average score for 80% or more of the synchronized stimulus activation time. In another embodiment, this condition may be defined as the user's average trigger score being 10 points or higher than the virtual user's average score, or the standard deviation of the user's trigger score not changing statistically significantly compared to before the synchronized stimulus activation.

[0410] The electronic device (100) calculates the difference between the user's trigger score and the virtual user's average score at each trigger point and can analyze the average value and standard deviation of the difference together over the entire synchronized stimulus activation interval. In one embodiment, the electronic device (100) can determine that the user has maintained their trigger level stably without yielding to social pressure only if the average value of the difference is greater than or equal to a predefined threshold (e.g., 5 points) and the variability of the difference is less than or equal to a predefined variability threshold (e.g., standard deviation of 3 points).

[0411] According to one embodiment, the "social independence add value" may refer to a positive correction value added to the self-confidence score as a reward for the user maintaining their judgment in a synchronized stimulus situation. The magnitude of the social independence add value may be pre-set by the operator and may be set as a fixed value, for example, 5 points, 7 points, or 10 points. In another embodiment, the social independence add value may be dynamically determined in proportion to the magnitude of the difference between the user's score and the virtual user's average score. For example, a stepwise add value assignment method may be applied, in which an add value of 5 points is assigned when the difference is 5 points or more but less than 10 points, an add value of 8 points is assigned when the difference is 10 points or more but less than 20 points, and an add value of 10 points is assigned when the difference is 20 points or more.

[0412] According to one embodiment, "psychological indicator score corresponding to self-confidence" may refer to the Nth psychological indicator score of the calculated self-confidence item, and the social independence additive value may act as a correction value that is additionally added to the calculated basic psychological indicator score of self-confidence. For example, if the calculated basic self-confidence score is 70 points and the social independence additive value is 7 points, the final self-confidence score may be calculated as 70 + 7 = 77 points.

[0413] The reason the combination of social independence and self-confidence holds academic rationality is that the psychological construct of self-confidence centers on the ability to trust one's own judgment without being swayed by external evaluations or the opinions of the majority. In social psychology, social independence can be defined as the ability to maintain one's own judgment free from group pressure, which can be interpreted as the manifestation of the social dimension of self-confidence. The fact that a user can maintain their usual level of performance during a shooting exercise without being influenced by the low results of many other performers suggests that the user places trust in their own senses and preparation, rather than relying on external information or social comparisons.

[0414] In reflecting the social independence additive value in the self-confidence score, the electronic device (100) may accept only the measurement results obtained when the user is unaware of the existence of the synchronized stimulus interface in advance as the condition for assigning the additive value. In one embodiment, if the user is aware of the operating principle of the synchronized stimulus interface in advance (e.g., if the user understands the measurement mechanism of the system, or if the user has repeatedly experienced the same measurement), the assignment of the additive value may be withheld or the magnitude of the additive value may be reduced, because the measurement validity of the synchronized stimulus depends on the user's naiveté.

[0415] The electronic device (100) may transparently provide the results of assigning social independence additive values ​​to the user retrospectively. In one embodiment, the base value of the self-confidence score and the social independence additive value are displayed separately in the integrated report of the session in which the synchronization stimulus was activated, and an explanation may be provided that the synchronization stimulus interface was utilized as a measurement tool and that the user maintained their performance in a social pressure situation. This retrospective disclosure may provide the additional effect of allowing the user to recognize their social independence ability and strengthen their self-confidence, while simultaneously ensuring the ethical transparency of the measurement procedure.

[0416] The electronic device (100) can separately track the trend of change in the results of the social independence measurement between rounds. If the user shows a trend of gradually increasing the social independence value as the rounds progress, the electronic device (100) can prioritize selecting phrases that reflect the development of the user's social independence when generating mental recovery sentences, and, for example, a message such as "You are firmly rooted in your senses without being swayed by external results or the performance of others" can be generated.

[0417] Additionally, in one embodiment of the present invention, the electronic device (100) may separately measure the user's cognitive response to the synchronization stimulus along with the measurement of social independence. For example, if the time interval between the user's triggers becomes longer than usual immediately after the synchronization stimulus is activated (if hesitation occurs), it can be interpreted that the user perceived the synchronization stimulus and was influenced by it, but consequently maintained their own judgment. This pattern of cognitive response can be utilized as an auxiliary indicator to more precisely analyze the process of the manifestation of social independence.

[0418] Additionally, according to one embodiment, the electronic device (100) may not add a value to the self-confidence score when it is determined that the user has lowered their performance level by yielding to the synchronization stimulus, and may apply a weight that increases the likelihood of identifying the self-confidence item as a supplementary item. However, this identification of a supplementary item is not exposed to the user as a negative evaluation, but is conveyed gently in the tone of the supplementary mental recovery sentence described above, so that the user can recognize the potential for the development of their social independence.

[0419] According to one embodiment, a method for providing sports-based psychological data analysis and customized mental growth solutions may further include: a processor determining whether the absolute value of the difference between the average firing result score of the Nth shooting session and the average firing result score of the N-1th shooting session is located within a predefined flow threshold; and, if the processor determines that the absolute value of the difference exceeds the flow threshold and the user has entered a state of boredom or anxiety, automatically adjusting the target distance, target size, or firing time limit of the N+1th shooting session to correct the user's average firing result score to return to within a predefined flow channel range.

[0420] According to one embodiment, the electronic device (100) can determine whether the absolute value of the difference between the average firing result score of the Nth firing session and the average firing result score of the N-1th firing session is within a predefined flow threshold. This operation may be an operation in which the system automatically determines whether the user's level of shooting performance is maintained stably between sessions, or whether a sudden fluctuation occurs and the user's immersion state is compromised.

[0421] According to one embodiment, the "average firing result score" may mean the arithmetic mean of the result scores of all firings performed during one firing session. The firing result score may be determined based on the distance between the bullet impact point coordinates calculated from each firing and the center of the target, and generally, a higher score may be assigned the closer it is to the center of the target. For example, if a user performs 30 firings in the N-1 firing session and the average firing score is calculated as 7.5 points (out of 10), and the average firing score is calculated as 5.2 points in the Nth firing session, the absolute value of the difference between the average scores of the two sessions may be calculated as |5.2 - 7.5| = 2.3 points.

[0422] According to one embodiment, the "flow threshold" may refer to a reference value that distinguishes whether the difference in the average score between user rounds is within a normal range of fluctuation or corresponds to an abnormal sudden fluctuation. The flow threshold may be pre-set by an operator and may be determined differently for each user or user group. In one embodiment, the flow threshold may be set as an absolute value such as 1 point, 1.5 points, or 2 points, and in another embodiment, it may be dynamically determined as a value corresponding to 1 or 2 times the standard deviation of the average score of the user's cumulative rounds.

[0423] According to one embodiment, "Flow" is a concept in positive psychology proposed by Csikszentmihalyi, and may refer to an optimal state of experience in which the user is deeply immersed in an activity being performed, causing the sense of time to disappear and self-consciousness to disintegrate. A state of flow can be formed when the user's ability level and the difficulty of the task are in balance; it is known that if the task is too easy compared to the ability, a state of boredom occurs, and if the task is too difficult compared to the ability, a state of anxiety occurs. Therefore, to maintain a state of flow, a mechanism that adaptively adjusts the difficulty of the task to match the user's ability level may be required.

[0424] The electronic device (100) can calculate the absolute value of the difference between the average firing result scores of the Nth and N-1th rounds and compare it with a flow threshold. If the absolute value of the difference is within the flow threshold, it can be determined that the user's performance level is maintained stably and the user is in a flow state or is close thereto. Conversely, if the absolute value of the difference exceeds the flow threshold, it can be determined that the user's performance level has fluctuated rapidly and the user's immersion state is damaged or likely to be damaged.

[0425] When the absolute value of the difference exceeds the flow threshold, it can be interpreted in two ways. First, if the average score of the Nth round is higher than the average score of the N-1th round by more than the flow threshold, it may indicate a rapid improvement in the user's performance level; this can be interpreted as a situation where the difficulty of the task has become relatively low relative to the user's ability, potentially leading the user into a state of boredom. Second, if the average score of the Nth round is lower than the average score of the N-1th round by more than the flow threshold, it may indicate a rapid decline in the user's performance level; this can be interpreted as a situation where the difficulty of the task has become relatively high relative to the user's ability, or where the user's condition has temporarily deteriorated, potentially leading the user into a state of anxiety.

[0426] The electronic device (100) can also analyze the sign of the difference for comparison with the flow threshold. In one embodiment, when the absolute value of the difference exceeds the flow threshold, the electronic device (100) can separately generate a signal for entering a boredom state or an anxiety state based on the sign of the difference, and the direction of difficulty adjustment in subsequent operations can be determined differentially depending on the type of signal.

[0427] The electronic device (100) may determine the flow state by analyzing not only the difference between a single round but also the trends of multiple previous rounds. In one embodiment, the electronic device (100) may analyze the trends of the average scores of the N-2nd, N-1st, and Nth rounds to determine whether the score is in a consistently rising trend, a consistently falling trend, or an oscillating pattern. If the difference exceeds the flow threshold in a consistent rising trend, it can be more clearly interpreted as a signal of entry into a boredom state, and if the difference exceeds the flow threshold in a consistent falling trend, it can be more clearly interpreted as a signal of entry into an instability state.

[0428] The electronic device (100) can improve the precision of flow state determination by analyzing additional indicators, such as the variance of the firing result score or the variability of the time interval between firings, in addition to the average firing result score. In one embodiment, if the time interval between firings becomes longer by more than 30% compared to the N-1st time along with the change in the user's average score, it may be determined that the user is experiencing cognitive burden, and if the time interval between firings becomes shorter by more than 30%, it may be determined that the user is showing a tendency to process quickly due to reduced concentration on the task.

[0429] The electronic device (100) can adaptively update the flow threshold based on the cumulative round data for each user. In one embodiment, the standard deviation of the average score of the cumulative rounds of the user is calculated, and the flow threshold can be dynamically set to a value corresponding to 1.5 times the standard deviation. This adaptive threshold setting can apply a wide threshold to users with consistently high variability and a narrow threshold to users with consistently low variability, respectively, to reflect the fact that the natural range of score fluctuation may differ for each user.

[0430] The judgment result calculated in this operation can be stored in memory (120) by mapping it along with a user identifier, round number, average score of two rounds, absolute value of difference, flow threshold, judgment result (within or exceeding the threshold), and sign information (boredom or anxiety). The stored judgment result can be used to determine the difficulty adjustment of the N+1th shooting session in a subsequent operation, and can also be used to analyze the user's flow state maintenance pattern when rounds are accumulated.

[0431] Additionally, in one embodiment of the present invention, the electronic device (100) may determine the flow state together with the user's self-report data. For example, the user may self-report their flow state through a survey interface or a separate Flow State Scale (FSS), and if the self-report results match the results of the analysis of objective score changes, the reliability of the flow state determination may be considered high, and if they do not match, it may be considered that additional analysis is required.

[0432] According to one embodiment, if the absolute value of the difference exceeds a flow threshold and it is determined that the user has entered a state of boredom or anxiety, the electronic device (100) may automatically adjust the target distance, target size, or firing time limit of the N+1th firing session to correct the user's average firing result score to return to within a predefined flow channel range. This operation may be an operation that adaptively adjusts the difficulty of the next session's task to actively restore the user's immersion state.

[0433] According to one embodiment, the "flow channel range" may refer to a range of average trigger result scores in which a user can maintain a flow state. The flow channel range is an appropriate score range suitable for the user's ability level, which can be predefined by an operator and adaptively updated based on user-specific cumulative data. In one embodiment, the flow channel range may be set to a range of ±15% of the user's cumulative average score, and for example, if the user's cumulative average score is 7.0 points, the flow channel range may be determined to be between 5.95 and 8.05 points.

[0434] According to one embodiment, "target distance" may refer to the distance between the user and the target, and may be set to various distances, such as 5 meters, 10 meters, 15 meters, or 25 meters. As the target distance increases, the difficulty of shooting increases, which may result in a lower average score for the user; conversely, as the target distance decreases, the difficulty decreases, which may result in a higher average score. According to one embodiment, "target size" may refer to the area of ​​the target or the diameter of the target's scoring area, and may, for example, targets with diameters of 10 centimeters, 20 centimeters, or 30 centimeters may be used. As the target becomes larger, the difficulty of shooting decreases, and as the target becomes smaller, the difficulty increases. According to one embodiment, "firing time limit" may refer to the maximum time limit during which the user can fire a single shot, and may be set to, for example, 5 seconds, 10 seconds, or unlimited. As the time limit becomes shorter, the difficulty may increase due to time pressure.

[0435] The electronic device (100) can apply differential difficulty adjustments when it is determined that the user has entered a state of boredom (when the average score of the Nth round has risen above the flow threshold compared to the N-1st round) and when it is determined that the user has entered a state of anxiety (when the average score of the Nth round has fallen above the flow threshold compared to the N-1st round). When the user enters a state of boredom, the parameters of the N+1st shooting session may be determined in a direction of increasing the difficulty so that a challenging stimulus is needed for the user, and when the user enters a state of anxiety, the parameters may be determined in a direction of decreasing the difficulty so that an opportunity for recovery is needed for the user.

[0436] As an example of automatic adjustment of target distance, if it is determined that the user has entered a state of boredom, the electronic device (100) may increase the target distance of the N+1st shooting session by a certain percentage (e.g., 20%) or a certain absolute value (e.g., 3 meters) compared to the target distance of the Nth shooting session. For example, if the target distance of the Nth shooting session is 10 meters, the target distance of the N+1st shooting session may be automatically adjusted to 12 meters or 13 meters. Conversely, if it is determined that the user has entered a state of anxiety, the electronic device (100) may decrease the target distance by a certain percentage or a certain absolute value so that the user can recover in a more comfortable environment.

[0437] As an example of automatic adjustment of target size, when the user enters a boredom state, the electronic device (100) may reduce the target size of the N+1 shooting session by a certain percentage (e.g., 20%) compared to the target size of the Nth session to require more precise aiming, and when the user enters an anxious state, may increase the target size by a certain percentage to reduce the user's burden. For example, if the target diameter of the Nth session is 20 centimeters, the target diameter of the N+1th session may be automatically adjusted to 16 centimeters when the user enters a boredom state, and to 24 centimeters when the user enters an anxious state.

[0438] As an example of automatic adjustment of the firing time limit, when the user enters a boredom state, the electronic device (100) may add time pressure by shortening the firing time limit of the N+1 firing session, and when the user enters an anxious state, it may extend the firing time limit or release the time limit so that the user can perform firing with sufficient time. For example, if the firing time limit for the Nth session is 10 seconds, the time limit for the N+1th session may be automatically adjusted to 7 seconds when the user enters a boredom state, and to 15 seconds or unlimited when the user enters an anxious state.

[0439] The electronic device (100) may adjust only one paramete...

Claims

Claim 1 A method for providing sports-based psychological data analysis and customized mental growth solutions, performed by an electronic device including a processor, wherein the processor receives, from a laser shooting device and an inertial measurement sensor attached to the laser shooting device, bullet impact point coordinates at each firing point, time intervals between firings, and a trajectory of aiming line shake during a preset time interval immediately before firing, as shooting performance data for a user's Nth (N is a natural number) shooting session, and calculates from the received shooting performance data an aiming stability index based on the standard deviation of the trajectory of aiming line shake during the preset time interval immediately before firing, a firing consistency index based on the coefficient of variation of the time interval between firings, and a performance stabilization index based on the rate of change of bullet impact point dispersion between the first firing group and the last firing group within the Nth shooting session; and, after the termination of the Nth shooting session, the processor provides a survey interface composed of a plurality of questions regarding the cognitive and emotional state during shooting performance through a display of a user terminal, and receives a response value for each of the plurality of questions from the user. The operation of receiving a response value, wherein each of the plurality of items is mapped to at least one of a plurality of psychological items including impulse control, resilience, self-confidence, and homeostasis; the operation of the processor calculating an Nth-round psychological indicator score for each of the plurality of psychological items by combining the aiming stability index, the firing consistency index, the performance stability index, and the response value according to preset weights, calculating an amount of change between rounds for each of the plurality of psychological items by comparing the calculated Nth-round psychological indicator score with the 1st to N-1st-round psychological indicator scores stored in memory, and identifying among the plurality of psychological items a reinforcement target item in which the amount of change is a positive value and is greater than or equal to a first threshold, and a supplementation target item in which the Nth-round psychological indicator score is less than or equal to a second threshold.A method for providing psychological data analysis and a customized mental growth solution, comprising: an operation in which the processor selects sentence templates for score intervals corresponding to each of the reinforcement target item and the supplement target item from a mental recovery sentence template database stored in the memory, and generates an Nth-round mental recovery sentence by inserting the user's identification information and the information of the change amount into the selected sentence template; and an operation in which the processor provides a graph displaying the moving average value of the psychological indicator scores from the 1st round to the Nth round as a time series and the Nth-round mental recovery sentence to the user terminal. Claim 2 A method for providing sports-based psychological data analysis and customized mental growth solutions according to claim 1, wherein the operation of calculating the Nth psychological indicator score comprises: an operation in which the processor calculates, for the impulse control item among the plurality of psychological items, by summing the value obtained by applying a first weight to the trigger consistency indicator and the value obtained by applying a second weight to the response value of the item mapped to the impulse control item; and an operation in which the processor calculates, for the resilience item among the plurality of psychological items, by summing the value obtained by applying a third weight to the performance stabilization indicator and the value obtained by applying a fourth weight to the response value of the item mapped to the resilience item. Claim 3 A method for providing sports-based psychological data analysis and customized mental growth solutions according to claim 1, wherein the operation of generating the Nth mental recovery sentence comprises: an operation in which, for the item to be reinforced, the processor selects a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be reinforced belongs from among the reinforcement type template groups stored in the mental recovery sentence template database; and an operation in which, for the item to be supplemented, the processor selects a sentence template corresponding to the score range to which the Nth psychological indicator score of the item to be supplemented belongs from among the supplement type template groups stored in the mental recovery sentence template database; wherein the sentence belonging to the reinforcement type template group includes a phrase in a format that causes the user to subsequently recognize the result of the change. Claim 4 A method for providing sports-based psychological data analysis and customized mental growth solutions according to claim 1, wherein the operation provided to the user terminal includes the operation of the processor calculating, for each of the plurality of psychological items, the cumulative sum of the standard deviation per round interval and the amount of change between rounds together with the moving average value of the psychological indicator scores from the 1st to the Nth round, and displaying them together on the graph. Claim 5 A method for providing sports-based psychological data analysis and a customized mental growth solution according to claim 1, wherein the processor does not expose the psychological indicator score of the Nth session and the amount of change between sessions to the user terminal during the progress of the Nth shooting session, and at the time when the cumulative number of shooting sessions by the user reaches a preset threshold number, generates an integrated report that displays the trend of change in psychological indicator scores from the 1st session to the time when the threshold number is reached, and provides the integrated report to the user terminal.

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