Cognitive training adjustment method, device and system based on physiology and performance

Abstract

The invention discloses a cognition training adjustment method, device and system based on physiology and performance. The method comprises the steps that performance data and physiological data of a user when the user participates in a target cognition game are obtained; inputting the expression data and the physiological data into a game adaptation analysis model to obtain an analysis result; if the analysis result is that the game is not matched, the target cognitive game is updated, and the step of obtaining the performance data and the physiological data when the user participates in the target cognitive game is executed again according to the updated target cognitive game; and if the analysis result is game adaptation, generating a cognitive training report according to the performance data, the physiological data and the analysis result. When the user participates in the target cognitive game, the performance data and the physiological data are obtained, whether the target cognitive game needs to be updated or not is determined based on the analysis result obtained by the performance data and the physiological data, the best challenge can be continuously provided, and the cognitive training effect is improved.

Description

Technical Field

[0001] The present invention relates to the field of cognitive training technology, and in particular to a method, device and system for cognitive training adjustment based on physiology and performance. Background Art

[0002] Cognitive impairment in the elderly is increasingly common, seriously impacting quality of life. Currently, non-pharmacological interventions include single-aspect cognitive training for memory, reasoning, and processing speed, as well as comprehensive cognitive training that combines multiple approaches. Neurofeedback technology, which modulates brain activity through human-computer interaction, has been shown to improve memory, attention, and executive function in the elderly.

[0003] However, the cognitive training content in existing technologies is monotonous and boring, and many cognitive training programs lack dynamic adaptability to individual performance, making it difficult to continuously provide optimal challenges. In addition, pure cognitive training lacks objective physiological data support, making it difficult to gain an in-depth understanding of neural mechanisms or perform precise optimization, resulting in poor results of cognitive training.

[0004] Therefore, there is still an urgent need for a cognitive training adjustment method that can improve the effect of cognitive training. Summary of the Invention

[0005] The main purpose of the present invention is to provide a method, device and system for adjusting cognitive training based on physiology and performance to solve the problem of poor effect of existing defective cognitive training.

[0006] To achieve the above objectives, the present invention proposes a method for adjusting cognitive training based on physiology and performance, the method comprising: Obtaining performance data and physiological data of users while participating in the target cognitive game; Inputting the performance data and the physiological data into a game adaptation analysis model to obtain an analysis result; If the analysis result is that the game is not compatible, updating the target cognitive game, and re-performing the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game according to the updated target cognitive game; If the analysis result is game adaptation, a cognitive training report is generated based on the performance data, the physiological data and the analysis result.

[0007] In some embodiments, inputting the performance data and the physiological data into a game adaptation analysis model to obtain an analysis result includes: performing feature extraction on the performance data and the physiological data respectively to obtain performance features and physiological features; inputting the performance characteristics and the physiological characteristics into the game adaptation analysis model; Obtain the analysis result output by the game adaptation analysis model.

[0008] In some embodiments, updating the target recognition game includes: Adjusting the difficulty of the target cognitive game according to the analysis results; or, A recommended cognitive game is generated according to the analysis result, and the target cognitive game is updated according to the recommended cognitive game.

[0009] In some embodiments, the physiological and performance-based cognitive training adjustment method further comprises: Obtaining user identity information of the user; Determining whether the user identity information is associated with nursing identity information; If not, sending the cognitive training report to the user terminal corresponding to the user identity information; If so, the cognitive training report is sent to the nursing terminal corresponding to the nursing identity information.

[0010] In some embodiments, after sending the cognitive training report to the nursing terminal corresponding to the nursing identity information, the method further includes: Receive a detailed interpretation report from the nursing end based on the cognitive training report; The detailed interpretation report is sent to the user terminal.

[0011] In some embodiments, the physiological and performance-based cognitive training adjustment method further comprises: Obtaining user identity information of the user; Determining whether the user identity information is associated with the physician identity information; If yes, the cognitive training report is sent to the physician terminal corresponding to the physician identity information; receiving a recommended treatment report fed back by the physician based on the cognitive training report; The recommended treatment report is sent to the user terminal corresponding to the user identity information.

[0012] The present invention further provides a physiological and performance-based cognitive training adjustment device, the physiological and performance-based cognitive training adjustment device comprising: an acquisition unit, for acquiring performance data and physiological data of the user when participating in the target cognitive game; an analysis unit, configured to input the performance data and the physiological data into a game adaptation analysis model to obtain an analysis result; an updating unit, configured to update the target cognitive game if the analysis result indicates that the game is not compatible, and re-execute the step of obtaining performance data and physiological data of the user when participating in the target cognitive game according to the updated target cognitive game; A generating unit is configured to generate a cognitive training report based on the performance data, the physiological data and the analysis result if the analysis result is game adaptation.

[0013] In some embodiments, the analysis unit is specifically configured to: performing feature extraction on the performance data and the physiological data respectively to obtain performance features and physiological features; inputting the performance characteristics and the physiological characteristics into the game adaptation analysis model; Obtain the analysis result output by the game adaptation analysis model.

[0014] In some embodiments, the physiological and performance-based cognitive training adjustment device further comprises: The acquiring unit is further configured to acquire user identity information of the user; a determination unit, configured to determine whether the user identity information is associated with the nursing identity information; a sending unit, configured to send the cognitive training report to a user terminal corresponding to the user identity information if no; The sending unit is further configured to send the cognitive training report to the nursing end corresponding to the nursing identity information if yes.

[0015] The present invention also proposes a physiological and performance-based cognitive training adjustment system, which includes a cloud server, a user terminal, an EEG headband, a nursing terminal and a physician terminal. The cloud server includes any one of the physiological and performance-based cognitive training adjustment devices described above.

[0016] The present invention obtains the performance data and physiological data of the user when participating in the target cognitive game, inputs the performance data and physiological data into the game adaptation analysis model to obtain an analysis result. If the analysis result is that the game is not compatible, the target cognitive game is updated, and the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game is re-executed according to the updated target cognitive game. If the analysis result is that the game is compatible, a cognitive training report is generated based on the performance data, physiological data and analysis results. By obtaining the performance data and physiological data when the user participates in the target cognitive game, and determining whether the target cognitive game needs to be updated based on the analysis results obtained from the performance data and physiological data, the optimal challenge can be continuously provided, thereby improving the cognitive training effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of a process of adjusting cognitive training based on physiology and performance in an embodiment of the present invention; Figure 2 is another flow chart of a method for adjusting cognitive training based on physiology and performance in an embodiment of the present invention; Figure 3 is another flow chart of a method for adjusting cognitive training based on physiology and performance in an embodiment of the present invention; Figure 4 is another flow chart of a method for adjusting cognitive training based on physiology and performance in an embodiment of the present invention; Figure 5 is another flow chart of a method for adjusting cognitive training based on physiology and performance in an embodiment of the present invention; Figure 6 Schematic diagram of the structure of a physiological and performance-based cognitive training adjustment device according to an embodiment of the present invention; Figure 7 It is a structural diagram of a physiological and performance-based cognitive training adjustment system according to an embodiment of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] The following will be combined with the accompanying drawings to clearly and completely describe the solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0020] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0021] It should also be noted that when an element is referred to as being "fixed on" or "disposed on" another element, it may be directly on the other element or there may be an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element.

[0022] In addition, the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0023] To achieve the above objectives, the present invention proposes a method for adjusting cognitive training based on physiology and performance, which includes: Step S110, obtaining performance data and physiological data of the user when participating in the target cognition game; Step S120 , inputting the performance data and physiological data into the game adaptation analysis model to obtain analysis results; Step S130: If the analysis result shows that the game is not compatible, the target cognitive game is updated, and the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game is re-executed based on the updated target cognitive game; Step S140: If the analysis result is game adaptation, a cognitive training report is generated based on the performance data, physiological data and analysis results.

[0024] In this embodiment, referring to Figure 1 、 Figure 6 and Figure 7 The cognitive training adjustment method based on physiology and performance can be applied to the cognitive training adjustment system based on physiology and performance. The cognitive training adjustment system based on physiology and performance includes a cloud server, a user terminal, an EEG headband, a nursing terminal and a physician terminal; the cloud server may include an adjustment device, wherein the adjustment device may be such as Figure 6 The cloud server is wirelessly connected to the user terminal, EEG headband, nursing terminal, and physician terminal. In this embodiment, the execution entity of the method steps is the cloud server.

[0025] It is understood that the EEG headband can be a wearable device such as a headband, smart glasses, or smart eye mask that can detect a user's physiological data. The user end can be a portable computer device such as a tablet or mobile phone. The nursing end and the physician end can be portable computers such as tablets, mobile phones, and laptops. The EEG headband can include an adjustable headband, EEG sensors, EOG sensors, a battery compartment, a wireless antenna, and a control module. The adjustable headband ensures that the EEG headband can be worn comfortably and stably on users of varying head circumferences. The EEG sensors are located inside the EEG headband, contacting the scalp and collecting EEG signals from the brain. The EOG sensors are located near the eyes and collect EOG signals related to eye movements, which can be used to assess the user's eye movement behavior and attention status. The battery compartment provides an independent power source for the EEG headband, supporting long-term wireless operation. The wireless antenna enables wireless data transmission between the EEG headband and a cloud server or other receiving device, ensuring real-time data synchronization. The control module contains the EEG headband's control circuitry and signal processing unit.

[0026] Among them, target cognitive games can include target cognitive games of various game types, for example, target cognitive games can include focus improvement games, self-control improvement games, memory improvement games, and reaction improvement games. Among them, the target cognitive games of this application are used to improve cognitive ability through training optimization (for example, improving the original good cognitive ability of 80 points to excellent 90 points); rather than for training and treating people with cognitive impairment (for example, improving from a low score of 30 to a passing score of 60 points).

[0027] Focus-boosting games are designed to improve attention, including sustained attention (the ability to maintain focus for extended periods of time), selective attention (the ability to focus on relevant stimuli amid distractions), and divided attention (the ability to multitask).

[0028] Self-control games are designed to improve self-control, including targeting inhibitory control (the ability to inhibit inappropriate responses) and cognitive flexibility (the ability to switch between different thinking modes or tasks).

[0029] Memory boosting games for improving memory include exercises covering different memory systems such as working memory (temporary storage and manipulation of information), short-term memory, and associative memory (the ability to make connections between different pieces of information).

[0030] Reaction-enhancing games are used to improve reaction skills, including games that increase reaction speed and shorten reaction time.

[0031] When a user needs cognitive training, they can first put on the EEG headset and then use the user terminal to participate in the target cognitive game. While the user is playing the target cognitive game, the user terminal can collect performance data (e.g., accuracy, speed, score, etc.), and the EEG headset can continuously collect the user's physiological data (e.g., EEG and EOG signals). The user terminal can send the performance data to the cloud server, and the EEG headset can send the physiological data to the cloud server. The cloud server can then obtain the user's performance and physiological data while participating in the target cognitive game.

[0032] The cloud server can also be configured with a game adaptation analysis model. This model can be customized and trained by developers based on their needs, and then deployed to the cloud server. For example, developers can configure an original game adaptation analysis model based on game adaptation analysis requirements, then collect standard performance data and standard physiological data corresponding to multiple cognitive games, manually annotate these data with features, and finally train the original game adaptation analysis model based on the feature-annotated data and standard physiological data corresponding to the multiple cognitive games, thereby obtaining a game adaptation analysis model.

[0033] After the cloud server acquires the performance and physiological data, it can input them into the game adaptation analysis model. These data must be associated with the target cognitive game before being input into the game adaptation analysis model. After receiving the performance and physiological data, the game adaptation analysis model analyzes whether the target cognitive game is suitable for the user based on the data, generating an analysis result and outputting the analysis result. The cloud server then receives the analysis result.

[0034] When the analysis result shows that the game is not compatible, it can be determined that the target cognitive game is not compatible with the user. At this time, the cloud server will update the target cognitive game and re-execute step S110 based on the updated target cognitive game, thereby again judging whether the updated target cognitive game is compatible with the user. If it is still not compatible, the target cognitive game will continue to be updated and the judgment will continue.

[0035] If the analysis result indicates game adaptation, the target cognitive game is determined to be suitable for the user. The cloud server then generates a cognitive training report based on performance data, physiological data, and analysis results, informing the user of the extent to which their cognitive abilities have improved after participating in the target cognitive game.

[0036] Through this embodiment, the performance data and physiological data of the user when participating in the target cognitive game are obtained, and the performance data and physiological data are input into the game adaptation analysis model to obtain an analysis result. If the analysis result is that the game is not compatible, the target cognitive game is updated, and the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game is re-executed according to the updated target cognitive game. If the analysis result is that the game is compatible, a cognitive training report is generated based on the performance data, physiological data and analysis results. By obtaining performance data and physiological data when the user participates in the target cognitive game, and determining whether the target cognitive game needs to be updated based on the analysis results obtained from the performance data and physiological data, the best challenge can be continuously provided, thereby improving the cognitive training effect.

[0037] In a preferred embodiment, the aforementioned acquisition of the user's performance data when participating in the target cognitive game includes: controlling the user terminal to run the target cognitive game according to the cognitive training start instruction; obtaining the game score data generated in real time by the user terminal when the user participates in the target cognitive game; and determining the game score data as performance data.

[0038] In this embodiment, the cloud server can obtain game score data when performing the acquisition of performance data in step S110. When a user needs to perform cognitive training, they can click to start training on the user terminal. The user terminal then generates a cognitive training start instruction and sends the cognitive training start instruction to the cloud server. At this point, the cloud server can receive the cognitive training start instruction.

[0039] After receiving the cognitive training start instruction, the cloud server generates the target cognitive game based on the cognitive training start instruction and then controls the user end to run the target cognitive game. When the user participates in the target cognitive game, the cloud server obtains the game score data generated by the user end in real time and determines the game score data as performance data.

[0040] In a preferred embodiment, the aforementioned acquisition of the user's physiological data when participating in the target cognitive game includes: when the user participates in the target cognitive game, controlling the EEG headband to collect EEG signals and EOG signals in real time, wherein the EEG headband is worn on the user's head; acquiring the EEG signals and EOG signals, and determining the EEG signals and EOG signals as physiological data.

[0041] In this embodiment, the cloud server may acquire electroencephalogram (EEG) and electrooculogram (EOG) signals when performing step S110 of acquiring physiological data. When a user participates in a target cognitive game, the cloud server may control an EEG headband worn on the user's head to collect EEG and EOG signals in real time. The EEG headband then acquires the EEG and EOG signals and identifies them as physiological data.

[0042] In some embodiments, the aforementioned inputting of performance data and physiological data into the game adaptation analysis model to obtain analysis results includes: Step S150 , performing feature extraction on the performance data and the physiological data to obtain performance features and physiological features; Step S151, inputting performance characteristics and physiological characteristics into a game adaptation analysis model; Step S152: Obtain the analysis result output by the game adaptation analysis model.

[0043] In this embodiment, referring to Figure 2 When executing step S120, the cloud server may first perform feature extraction on the performance data and physiological data. After acquiring the performance data and physiological data, the cloud server may first associate the performance data and physiological data with the target cognitive game; then perform feature extraction on the performance data and physiological data to obtain performance features and physiological features. For example, the cloud server performs feature extraction on the performance data to obtain performance features. The cloud server also performs feature extraction on the physiological data to obtain physiological features.

[0044] After the cloud server obtains the performance and physiological characteristics, it can input them into the game adaptation analysis model. After the game adaptation analysis model obtains the performance and physiological characteristics, it can analyze whether the target cognitive game is suitable for the user based on the performance and physiological characteristics. If the target cognitive game is not suitable for the user, it can generate an analysis result indicating game incompatibility. If the target cognitive game is suitable for the user, it can generate an analysis result indicating game compatibility. After the game adaptation analysis model generates the analysis result, it can output the analysis result. At this point, the cloud server can obtain the analysis result output by the game adaptation analysis model.

[0045] In some embodiments, the aforementioned updated target recognition game includes: Adjust the difficulty of the target cognitive game based on the analysis results; or, Generate a recommended cognitive game based on the analysis results, and update the target cognitive game based on the recommended cognitive game.

[0046] In this embodiment, when the cloud server updates the target cognitive game in step S130, it may adjust the difficulty or change the game. Wherein, when the analysis result is that the game is not compatible, the game not compatible may include not compatible with the game difficulty or not compatible with the game type.

[0047] When the game mismatch is caused by mismatched game difficulty, the cloud server can adjust the difficulty of the target cognitive game based on the analysis results. Adjusting the difficulty of the target cognitive game can increase or decrease the difficulty of the target cognitive game, so that the user can continue cognitive improvement training using the target cognitive game with adjusted difficulty.

[0048] When the game mismatch is due to game type mismatch, the cloud server can generate a recommended cognitive game based on the analysis results, and update the target cognitive game based on the recommended cognitive game to replace the target cognitive game with the recommended cognitive game, so that the user can use the recommended cognitive game to continue cognitive improvement training.

[0049] In some embodiments, the aforementioned physiological and performance-based cognitive training adjustment method further includes: Step S160, obtaining the user's identity information; Step S161, determining whether the user identity information is associated with the nursing identity information; Step S162: If not, the cognitive training report is sent to the user terminal corresponding to the user identity information; Step S163: If yes, the cognitive training report is sent to the nursing terminal corresponding to the nursing identity information.

[0050] In this embodiment, referring to Figure 3 The cloud server may also obtain the user's identity information to determine whether the user's identity information is associated with the nursing identity information. The cloud server may first obtain the user's identity information, wherein the user's identity information may be the user's ID number or a unique identification code created based on the ID number.

[0051] After the cloud server obtains the user's identity information, it can determine whether the user's identity information is associated with the nursing identity information, that is, whether the user has a corresponding nursing staff.

[0052] When the user identity information is not associated with the nursing identity information, the cloud server may send the cognitive training report to the user terminal corresponding to the user identity information to inform the user of the cognitive training report.

[0053] When the user's identity information is linked to a caregiver's identity information, the cloud server can send a cognitive training report to the corresponding caregiver's end-user. The cognitive training report can be generated using specialized terminology within the cognitive training technology field, making it easily understandable only to professionals in the field. In this case, the caregiver's end-user can first interpret the cognitive training report and then communicate it to the user.

[0054] In some embodiments, after sending the cognitive training report to the nursing terminal corresponding to the nursing identity information, the method further includes: Step S170, receiving a detailed interpretation report from the nursing end based on the cognitive training report; Step S171: Send the detailed interpretation report to the user terminal.

[0055] In this embodiment, referring to Figure 4 After executing step S163, the cloud server can first interpret the cognitive training report and then send a detailed interpretation report to the user terminal. After the cloud server sends the cognitive training report to the nursing terminal corresponding to the nursing identity information, the nursing staff can interpret the cognitive training report through the nursing terminal to generate a detailed interpretation report, and finally send the detailed interpretation report back to the cloud server through the nursing terminal. At this point, the cloud server can receive the detailed interpretation report feedback from the nursing terminal based on the cognitive training report.

[0056] After receiving the detailed interpretation report from the nursing end based on the cognitive training report, the cloud server can send the detailed interpretation report to the user end. This avoids the problem of the cognitive training report being generated using professional terminology in the field of cognitive training technology and the user not being able to correctly interpret the cognitive training report.

[0057] In some embodiments, the aforementioned physiological and performance-based cognitive training adjustment method further includes: Step S180, obtaining the user's identity information; Step S181, determining whether the user identity information is associated with the physician identity information; Step S182: If yes, the cognitive training report is sent to the physician terminal corresponding to the physician identity information; Step S183, receiving a recommended treatment report from the physician based on the cognitive training report; Step S184: Send the recommended treatment report to the user terminal corresponding to the user identity information.

[0058] In this embodiment, referring to Figure 5 The cloud server may also obtain the user's identity information to determine whether the user's identity information is associated with the physician's identity information. The cloud server may first obtain the user's identity information, where the user's identity information may be the user's ID number or a unique identification code created based on the ID number.

[0059] After the cloud server obtains the user's identity information, it can determine whether the user's identity information is associated with the doctor's identity information, that is, whether the user has a corresponding doctor.

[0060] When the user identity information is not associated with the physician identity information, the cloud server may send the cognitive training report to the user terminal corresponding to the user identity information to inform the user of the cognitive training report.

[0061] When the user identity information is associated with the physician identity information, the cloud server can send the cognitive training report to the physician terminal corresponding to the physician identity information.

[0062] After the cloud server sends the cognitive training report to the physician's end-user, the physician can interpret the report and determine the subsequent treatment plan. This generates a recommended treatment report based on the treatment plan, and the physician's end sends the recommended treatment report back to the cloud server. At this point, the cloud server receives the recommended treatment report from the physician based on the cognitive training report.

[0063] After the cloud server receives the recommended treatment report from the physician based on the cognitive training report, it can send the recommended treatment report to the user to recommend further treatment to be carried out, thereby further improving cognitive ability through training optimization.

[0064] The present invention obtains the performance data and physiological data of the user when participating in the target cognitive game, inputs the performance data and physiological data into the game adaptation analysis model to obtain an analysis result. If the analysis result is that the game is not compatible, the target cognitive game is updated, and the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game is re-executed according to the updated target cognitive game. If the analysis result is that the game is compatible, a cognitive training report is generated based on the performance data, physiological data and analysis results. By obtaining the performance data and physiological data when the user participates in the target cognitive game, and determining whether the target cognitive game needs to be updated based on the analysis results obtained from the performance data and physiological data, the optimal challenge can be continuously provided, thereby improving the cognitive training effect.

[0065] Reference Figure 6 The present invention further proposes a cognitive training adjustment device 20 based on physiology and performance. The cognitive training adjustment device 20 based on physiology and performance includes: An acquisition unit 201 is used to acquire performance data and physiological data of a user when participating in a target cognition game; An analysis unit 202 is used to input the performance data and physiological data into a game adaptation analysis model to obtain analysis results; An updating unit 203 is configured to update the target cognitive game if the analysis result indicates that the game is not compatible, and re-execute the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game according to the updated target cognitive game; The generating unit 204 is configured to generate a cognitive training report based on the performance data, physiological data and the analysis result if the analysis result is game adaptation.

[0066] In some embodiments, the analysis unit 202 is specifically configured to: Feature extraction is performed on the performance data and the physiological data respectively to obtain performance features and physiological features; Inputting performance characteristics and physiological characteristics into the game adaptation analysis model; Get the analysis results output by the game adaptation analysis model.

[0067] In some embodiments, the updating unit 203 is specifically configured to: Adjust the difficulty of the target cognitive game based on the analysis results; or, Generate a recommended cognitive game based on the analysis results, and update the target cognitive game based on the recommended cognitive game.

[0068] In some embodiments, the physiological and performance-based cognitive training adjustment device further comprises: The acquisition unit 201 is further used to obtain the user identity information of the user; a judgment unit, configured to judge whether the user identity information is associated with the nursing identity information; a sending unit, configured to send the cognitive training report to a user terminal corresponding to the user identity information if no; The sending unit is further configured to send the cognitive training report to the nursing end corresponding to the nursing identity information if yes.

[0069] In some embodiments, the physiological and performance-based cognitive training adjustment device further comprises: The receiving unit is used to receive a detailed interpretation report from the nursing end based on the cognitive training report; The sending unit is further configured to send the detailed interpretation report to the user end.

[0070] In some embodiments, the physiological and performance-based cognitive training adjustment device further comprises: The acquisition unit 201 is further used to obtain the user identity information of the user; The judging unit is further used to judge whether the user identity information is associated with the physician identity information; The sending unit is further configured to send the cognitive training report to a physician terminal corresponding to the physician identity information if yes; The receiving unit is also used to receive a recommended treatment report from the physician based on the cognitive training report; The sending unit is further configured to send the recommended treatment report to the user terminal corresponding to the user identity information.

[0071] Reference Figure 7The present invention also proposes a physiological and performance-based cognitive training adjustment system 30. The physiological and performance-based cognitive training adjustment system 30 includes a cloud server 301, a user terminal 302, an EEG headband 303, a nursing terminal 304 and a physician terminal 305. The cloud server includes any one of the physiological and performance-based cognitive training adjustment devices described above.

[0072] In this embodiment, referring to Figure 6 and Figure 7 The cognitive training adjustment system based on physiology and performance includes a cloud server, a user terminal, an EEG headband, a nursing terminal and a physician terminal; the cloud server may include an adjustment device, wherein the adjustment device may be Figure 6 The device for adjusting cognitive training based on physiology and performance is shown. The cloud server is wirelessly connected to the user side, EEG headband, nursing side, and physician side.

[0073] An EEG headband can be a wearable device such as a headband, smart glasses, or smart eye masks that can detect a user's physiological data. The user end can be a portable computer device such as a tablet or mobile phone. The nursing and physician ends can be portable computers such as tablets, mobile phones, or laptops. The EEG headband can include an adjustable headband, EEG sensors, EOG sensors, a battery compartment, a wireless antenna, and a control module. The adjustable headband ensures that the EEG headband can be worn comfortably and stably on users of varying head circumferences. The EEG sensors are located inside the EEG headband, contacting the scalp and collecting EEG signals from the brain. The EOG sensors are located near the eyes and collect EOG signals related to eye movements, which can be used to assess the user's eye movement behavior and attention status. The battery compartment provides an independent power source for the EEG headband, supporting long-term wireless operation. The wireless antenna enables wireless data transmission between the EEG headband and a cloud server or other receiving device, ensuring real-time data synchronization. The control module contains the EEG headband's control circuitry and signal processing unit.

[0074] The present invention also proposes a computer device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it can execute any of the above-mentioned physiological and performance-based cognitive training adjustment methods.

[0075] The present invention also proposes a storage medium storing a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is enabled to perform any one of the above-mentioned physiological and performance-based cognitive training adjustment methods.

[0076] The above description is only a partial or preferred embodiment of the present invention. Neither the text nor the drawings can limit the scope of protection of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the overall concept of the present invention, or direct / indirect application in other related technical fields are included in the scope of protection of the present invention.

Claims

1. A method of cognitive training adjustment based on physiology and performance, characterized in that: The physiological and performance-based cognitive training adaptation methods include: Obtaining performance data and physiological data of users while participating in the target cognitive game; Inputting the performance data and the physiological data into a game adaptation analysis model to obtain an analysis result; If the analysis result is that the game is not compatible, updating the target cognitive game, and re-performing the step of obtaining the performance data and physiological data of the user when participating in the target cognitive game according to the updated target cognitive game; If the analysis result is game adaptation, a cognitive training report is generated based on the performance data, the physiological data and the analysis result.

2. The method of cognitive training adjustment based on physiology and performance according to claim 1, characterized in that: Inputting the performance data and the physiological data into a game adaptation analysis model to obtain analysis results includes: performing feature extraction on the performance data and the physiological data respectively to obtain performance features and physiological features; inputting the performance characteristics and the physiological characteristics into the game adaptation analysis model; Obtain the analysis result output by the game adaptation analysis model.

3. The method of cognitive training adjustment based on physiology and performance according to claim 1, characterized in that: The updating of the target cognitive game includes: Adjusting the difficulty of the target cognitive game according to the analysis results; or, A recommended cognitive game is generated according to the analysis result, and the target cognitive game is updated according to the recommended cognitive game.

4. The method of cognitive training adjustment based on physiology and performance according to claim 1, characterized in that: The physiological and performance-based cognitive training adjustment method also includes: Obtaining user identity information of the user; Determining whether the user identity information is associated with nursing identity information; If not, sending the cognitive training report to the user terminal corresponding to the user identity information; If so, the cognitive training report is sent to the nursing terminal corresponding to the nursing identity information.

5. The method of adjusting cognitive training based on physiology and performance according to claim 4, characterized in that: After sending the cognitive training report to the nursing terminal corresponding to the nursing identity information, the method further includes: Receive a detailed interpretation report from the nursing end based on the cognitive training report; The detailed interpretation report is sent to the user terminal.

6. The method of cognitive training adjustment based on physiology and performance according to claim 1, characterized in that: The physiological and performance-based cognitive training adjustment method also includes: Obtaining user identity information of the user; Determining whether the user identity information is associated with the physician identity information; If yes, the cognitive training report is sent to the physician terminal corresponding to the physician identity information; receiving a recommended treatment report fed back by the physician based on the cognitive training report; The recommended treatment report is sent to the user terminal corresponding to the user identity information.

7. A cognitive training adjustment device based on physiology and performance, characterized in that The physiological and performance-based cognitive training adjustment device includes: an acquisition unit, for acquiring performance data and physiological data of the user when participating in the target cognitive game; an analysis unit, configured to input the performance data and the physiological data into a game adaptation analysis model to obtain an analysis result; an updating unit, configured to update the target cognitive game if the analysis result indicates that the game is not compatible, and re-execute the step of obtaining performance data and physiological data of the user when participating in the target cognitive game according to the updated target cognitive game; A generating unit is configured to generate a cognitive training report based on the performance data, the physiological data and the analysis result if the analysis result is game adaptation.

8. The physiological and performance-based cognitive training adjustment device according to claim 7, characterized in that: The analysis unit is specifically used for: performing feature extraction on the performance data and the physiological data respectively to obtain performance features and physiological features; inputting the performance characteristics and the physiological characteristics into the game adaptation analysis model; Obtain the analysis result output by the game adaptation analysis model.

9. The physiological and performance-based cognitive training adjustment device according to claim 7, characterized in that: The physiological and performance-based cognitive training adjustment device also includes: The acquiring unit is further configured to acquire user identity information of the user; a determination unit, configured to determine whether the user identity information is associated with the nursing identity information; a sending unit, configured to send the cognitive training report to a user terminal corresponding to the user identity information if no; The sending unit is further configured to send the cognitive training report to the nursing end corresponding to the nursing identity information if yes.

10. A cognitive training adjustment system based on physiology and performance, characterized in that The physiological and performance-based cognitive training adjustment system includes a cloud server, a user terminal, an EEG headband, a nursing terminal and a physician terminal, and the cloud server includes the physiological and performance-based cognitive training adjustment device according to any one of claims 7 to 9.

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