Intelligent fitness station physique detection and data synchronization method based on touch screen

Abstract

The invention discloses an intelligent fitness station physique detection and data synchronization system and method based on a touch screen, and belongs to the field of intelligent transportation systems, the Internet of Things and intelligent terminals, and the method comprises the steps: obtaining a first interaction operation of a user on the touch screen, and collecting a signal quality index and original physiological parameters of the user; synchronously collecting real-time environmental parameters and performing environmental compensation calculation on the original physiological parameters to generate environmental correction data; and acquiring a second interaction operation of the user, generating a contact state signal, judging whether the signal meets a preset synchronous triggering condition or not, and if so, activating a preset data transmission terminal to upload the environment correction data. According to the system, the embedded health detection module and the environment sensing module are adopted for collaborative collection, an environment-physiological parameter dynamic compensation algorithm and an intelligent trigger synchronization mechanism are adopted, accurate physique monitoring can be achieved, environment interference is automatically eliminated, and the data transmission efficiency is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent transportation systems and Internet of Things and intelligent terminals, in particular to a kind of physical detection and data synchronization method of intelligent fitness post office based on touch screen. BACKGROUND

[0002] Traditional bus station booth has single function, mainly provides vehicle to station information query and basic waiting service, lacks health monitoring and data interaction capability.The present application proposes a kind of physical detection and data synchronization method of intelligent fitness post office based on touch screen, through the integration of embedded health detection module and environmental perception module, combine touch screen interaction to realize user physiological parameter acquisition, environmental compensation calculation and cloud data synchronization.The system upgrades public service facilities to intelligent health monitoring node, applicable to smart city, public transport and mobile health field.

[0003] In prior art, the intelligent transformation of bus station booth focuses on information publishing or security monitoring, and a few devices that try to integrate health detection usually use independent terminals, which need user active operation and data isolation.Some schemes upload data through Bluetooth / wireless network connection personal device, but rely on user terminal and do not solve the influence of environmental interference on physiological parameters.The existing touch screen interaction is limited to information query, and is not deeply coupled with health detection logic.

[0004] In traditional scheme, independent health detection device and bus station booth function are separated, which leads to low use rate and data cannot be synchronized in real time;Environmental parameters interfere with physiological detection results without dynamic compensation, which affects data accuracy.In addition, there is no automatic association mechanism for user identity and detection data, which needs manual information input, and the operation is complicated.Data upload relies on stable network, but does not combine network state to trigger synchronization intelligently, which is easy to cause transmission failure or resource waste.These defects restrict the intelligentization of public service facilities and the popularization of health monitoring. SUMMARY

[0005] To solve the above problems, the present application provides a kind of physical detection and data synchronization method of intelligent fitness post office based on touch screen, embedded health detection module and environmental perception module cooperate to collect, environmental-physiological parameter dynamic compensation algorithm and intelligent trigger synchronization mechanism, which can realize accurate physical monitoring, automatically eliminate environmental interference and optimize data transmission efficiency.

[0006] The above object can be realized by the following scheme:

[0007] A physical fitness detection and data synchronization method for an intelligent fitness station based on a touch screen comprises obtaining a first interactive operation of a user on the touch screen and generating a detection trigger instruction; in response to the detection trigger instruction, collecting signal quality indicators and the user's original physiological parameters, and synchronously collecting real-time environmental parameters; performing environmental compensation calculations on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data; obtaining a second interactive operation of the user on the touch screen and generating a contact state signal; judging whether a preset synchronization trigger condition is met based on the contact state signal; and when the synchronization trigger condition is met, activating a preset data transmission terminal to generate the environmental correction data and upload it.

[0008] Optionally, the acquiring of the first interactive operation of the user on the touch screen and generating the detection trigger instruction includes: embedding a detection service entry identifier in the touch screen; detecting a click or slide operation of the user on the detection service entry identifier, and generating the detection trigger instruction;

[0009] Optionally, performing environmental compensation calculation on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data includes: calling a preset environmental-physiological parameter correction model; inputting the real-time environmental parameters into the environmental-physiological parameter correction model to generate an environmental compensation coefficient; and applying the environmental compensation coefficient to dynamically correct the original physiological parameters to generate the environmental correction data.

[0010] Optionally, the method further includes: displaying an identity association interface through a touch screen; obtaining a lightweight identity identifier input by a user on the identity association interface; binding the lightweight identity identifier with the environmental correction data to generate user association data; and uploading the user association data when the synchronization trigger condition is met.

[0011] Optionally, the environmental-physiological parameter correction model includes: synchronously collecting the transformation relationship between the real-time environmental parameters and the original physiological parameters to generate a linear compensation model or a table lookup mapping model. The environmental-physiological parameter correction model includes the linear compensation model and the table lookup mapping model.

[0012] Optionally, obtaining a lightweight identity includes: obtaining a first identity by scanning QR code graphic information provided by a user; generating a second identity by receiving an identity code sent by a near-field communication device; obtaining a third identity by identifying a combination of a mobile phone number and a verification code entered by the user; wherein the lightweight identity includes the first identity, the second identity, and the third identity.

[0013] Optionally, the contact state signal comprises: generating a specific function area based on a preset detection result confirmation area or interface return area; generating the contact state signal based on a contact interruption operation of the user's finger with the specific function area of the touch screen; and the second interaction operation comprises the contact interruption operation of the user's finger with the specific function area of the touch screen.

[0014] Optionally, the synchronization trigger condition comprises: monitoring a current network state parameter and a system load parameter of the data transmission terminal; and only when the network state parameter is higher than a preset threshold and the system load parameter is lower than a preset load limit, it is marked that the synchronization trigger condition is satisfied.

[0015] Optionally, the method further comprises: when the contact interruption operation lasts for a preset time length, determining whether the original physiological parameter is within a preset reasonable physiological range threshold and whether the signal quality index reaches a preset signal-to-noise ratio threshold.

[0016] Based on the same inventive concept, the application also provides a touch screen-based intelligent fitness kiosk physical fitness detection and data synchronization system, which comprises: a multifunctional touch screen module for obtaining a first interaction operation of a user on a touch screen and generating a detection trigger instruction; an embedded health detection module for responding to the detection trigger instruction, collecting a signal quality index and an original physiological parameter of a user, and synchronously collecting real-time environmental parameters; an environmental perception module for performing environmental compensation calculation on the original physiological parameter in combination with the real-time environmental parameters to generate environmental correction data; a contact detection module for obtaining a second interaction operation of a user on a touch screen and generating a contact state signal; a condition judgment module for judging whether the contact state signal satisfies a preset synchronization trigger condition; and a data communication module for activating a preset data transmission terminal to upload the environmental correction data when the synchronization trigger condition is satisfied.

[0017] Compared with the prior art, the application has the following beneficial effects:

[0018] 1. The application realizes intelligent upgrading of the health monitoring function of a bus station by integrating an embedded health detection module and an environmental perception module. The system can synchronously collect physiological parameters and environmental data of a user and dynamically compensate by using an environmental-physiological parameter correction model, effectively eliminating the interference of environmental factors such as temperature and humidity on the detection result. This innovative design significantly improves the accuracy of physical fitness detection data, enabling reliable physiological indicators to be obtained in complex outdoor environments, and providing a high-quality data basis for subsequent health analysis. 2. Through the intelligent trigger synchronization mechanism, the precise control of data uploading is realized by comprehensively analyzing the user interaction state, network condition and system load. The system activates the transmission only when the contact interruption reaches the preset duration and the network state is stable, avoiding the uploading of invalid data and the waste of network resources. This synchronization strategy based on multi-condition determination not only optimizes the system resource utilization rate, but also ensures the reliability of data transmission, providing stable support for real-time monitoring and analysis of the cloud platform; 3. The application innovatively combines lightweight identity recognition technology with health detection function, realizing the automatic association of user identity and health data through various convenient methods such as two-dimensional code scanning and near field communication identification. In the city bus station, the intelligent fitness function is integrated, and users can use the waiting time for physical fitness testing and simple fitness activities. The system monitors the user's heart rate, blood oxygen and other physiological parameters in real time through touch screen interaction, and dynamically corrects combined with environmental data, finally synchronizes the health data to the cloud, providing personalized health suggestions for users.

[0019] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the application. The objects and other advantages of the present application can be achieved and obtained by the structures indicated in the specification, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0021] Figure 1 is a flowchart of a touch screen-based intelligent fitness station physical fitness detection and data synchronization method according to an embodiment of the present application.

[0022] Figure 2 is an environmental-physiological parameter compensation model diagram according to an embodiment of the present application.

[0023] Figure 3 is a network state and system load trigger condition determination diagram according to an embodiment of the present application.

[0024] Figure 4 is a touch screen interaction area diagram according to an embodiment of the present application.

[0025] Figure 5 is a structure diagram of a touch screen-based intelligent fitness station physical fitness detection and data synchronization system according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely explain the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0027] With reference to Figure 1 , one embodiment of the present application proposes a touch screen-based intelligent fitness station physical fitness detection and data synchronization method, which adopts an embedded health detection module and an environment perception module to cooperatively collect, an environment-physiological parameter dynamic compensation algorithm and an intelligent triggering synchronization mechanism, and can realize accurate physical fitness monitoring, automatic elimination of environmental interference and optimization of data transmission efficiency.

[0028] The method of the embodiment specifically includes: obtaining a first interactive operation of a user on a touch screen to generate a detection triggering instruction; in response to the detection triggering instruction, collecting a signal quality index and original physiological parameters of the user, and synchronously collecting real-time environment parameters; combining the real-time environment parameters to perform environment compensation calculation on the original physiological parameters to generate environment correction data; obtaining a second interactive operation of the user on the touch screen to generate a contact state signal; judging whether a preset synchronization triggering condition is met based on the contact state signal; when the synchronization triggering condition is met, activating a preset data transmission terminal to generate and upload the environment correction data.

[0029] Specifically, the method first obtains a first interactive operation of a user through a touch screen to generate a detection triggering instruction. In response to the instruction, the system simultaneously collects a signal quality index, original physiological parameters of the user and real-time environment parameters. The signal quality index is used to evaluate data reliability, the original physiological parameters include heart rate or blood oxygen data, and the real-time environment parameters are, for example, temperature or humidity. Then, the system performs environment compensation calculation on the original physiological parameters by using the real-time environment parameters to generate environment correction data. A data processing control module calls a pre-stored environment-physiological parameter correction model to first calculate an environment interference factor. For the environment interference factor , there are:

[0030] ,

[0031] wherein is a temperature compensation coefficient, is the humidity compensation coefficient, is the pressure compensation coefficient, is the temperature value in the real-time environmental parameters, is the humidity value, The barometric pressure value, obtained through laboratory calibration tests, reflects the linear influence of temperature, humidity, and barometric pressure on physiological parameters, respectively. This step uses a mathematical model to remove environmental interference from the raw data. For example, if a high ambient temperature causes an elevated heart rate, compensation calculations correct it to the value under standard conditions. The system then detects the user's second interactive action on the touchscreen, generates a contact status signal, and uses this signal to determine whether preset synchronization trigger conditions, such as contact duration or pressure threshold, are met. If these conditions are met, the data transmission terminal is activated, and the environmental correction data is uploaded to the server. Regarding technical benefits, smart fitness features are integrated into urban bus stops, allowing users to use their waiting time for physical fitness tests and simple fitness activities. The system monitors the user's heart rate, blood oxygen level, and other physiological parameters in real time through touchscreen interaction. This method significantly improves the accuracy of measurement results by simultaneously collecting environmental parameters and dynamically compensating for physiological data. Furthermore, using interactive actions to trigger data transmission simplifies the user's operation process and ensures timely data upload. When exercising, the user starts the test through the touch screen. The system collects their heart rate and environmental humidity data and automatically corrects the impact of humidity on the heart rate. The user then touches the screen again to confirm the upload. After the system determines that the contact pressure meets the standard, the corrected heart rate data will be sent to the cloud, thereby providing users with more reliable health monitoring services.

[0032] Optionally, acquiring the first interactive operation of the user on the touch screen and generating a detection trigger instruction includes: Embed the detection service entrance logo in the touch screen; Detecting a user's click or slide operation on the detection service entry logo, and generating the detection trigger instruction; Specifically, the system uses hybrid rendering technology to dynamically superimpose the fitness entrance sign onto the original interface of the bus stop, such as arrival information, advertisements, etc., and ensures visual coordination through an improved channel hybrid algorithm. The channel mixing formula for fitness entrance is: , in, For the final display color, is the dynamic transparency coefficient, To detect the original color value of the entrance logo, It is the background color value of the bus information interface. The entrance sign is designed as a circular translucent floating button with a diameter of 30mm. It presents 60% transparency by default. When it detects that the user's gaze stays for more than 500ms, the micro-motion effect is triggered. When the touch signal is detected in the display area of ​​the detection service entrance sign and the input type is click or slide, the touch sensor converts the signal into an electric pulse and transmits it to the processor; the processor generates a detection trigger instruction based on the preset touch event judgment logic if the duration and displacement of the input signal meet the threshold conditions of the click or slide operation. For determining whether the user's touch operation is a valid point ,have: , in, Indicates the touch duration. Indicates the minimum effective click duration. Indicates the maximum effective click duration. is the touch displacement, is the displacement threshold, It is an operator intersection operation. It can be concluded that this method realizes the accurate recognition of user intention through the coordination of hardware signal acquisition and software logic judgment.

[0033] For example, when a user is waiting at a bus stop, using a smart terminal, if they briefly touch the on-screen detection service entry icon with their finger without noticeable movement, the system identifies it as a click and generates a detection trigger command, immediately initiating smart fitness mode. If the user presses and holds the icon and drags it horizontally beyond a preset distance, it identifies it as a swipe and also generates a command. By unifying the judgment logic and hardware response, the detection service can be reliably triggered regardless of the operation method, improving interaction tolerance and preventing invalid commands caused by accidental touches. This allows users to accurately activate functions without repeated operations. While retaining existing bus services, the smart fitness bus stop has become a key node in urban health infrastructure, seamlessly integrating public services with personalized health management needs.

[0034] Optionally, performing environmental compensation calculation on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data includes: Call the preset environmental-physiological parameter correction model; Inputting the real-time environmental parameters into the environmental-physiological parameter correction model to generate an environmental compensation coefficient; The environmental compensation coefficient is applied to dynamically correct the original physiological parameters to generate the environmental correction data.

[0035] Specifically, in the intelligent fitness bus station, the system loads the preset environment-physiological parameter correction model from the non-volatile memory in the initialization stage, which contains a linear compensation coefficient matrix and a physiological parameter reference value table. The model loading process adopts a double check mechanism, first verifying the integrity of the model data through the cyclic redundancy check code, and then verifying the legality of the model source through the digital signature. The system obtains real-time temperature, humidity and pressure data through the environment perception module, first performs data standardization processing, and then inputs the processed environment parameter vector into the preloaded three-layer neural network model. The model contains 5 hidden nodes and uses the activation function. The model operation process first calculates the hidden layer output value. For the output value of the hidden layer node , , wherein is the output value of the i-th hidden layer node, is the weight matrix from the input layer to the hidden layer, is the bias term, represents the function; the final output layer calculates the compensation coefficient. For the compensation coefficient , , wherein, represents the hyperbolic tangent function, is the weight vector from the hidden layer to the output layer, ensuring that the value falls within the reasonable interval of 0.2-0.8. As shown in , the input obtains real-time temperature, humidity and pressure data, and the output obtains the compensation coefficient Figure 2 . The weight parameters are obtained through historical data training and are automatically updated once a quarter. For heart rate correction, the environmental compensation heart rate correction formula is used. For this formula , , wherein, is the original heart rate value measured by the embedded health detection module, is the reference heart rate value (75 times / minute), obtained through large-scale clinical data statistics. For blood oxygen correction, the blood oxygen saturation environmental compensation correction formula is used. For this formula , , wherein, is the original blood oxygen saturation measurement value, is the blood oxygen compensation base (fixed value 0.8%), and the environmental compensation coefficient ​​generated by the foregoing neural network model, the value range of which is limited between 0.2 and 0.8 to ensure that the correction amplitude conforms to the medical reasonable range. After the correction is completed, the system will and packaged into a structured data format, marked with a time stamp and stored in a queue for uploading.

[0036] Exemplarily, when the original heart rate of 68 times per minute, blood oxygen of 96, and the environmental compensation coefficient of 0.5 are detected, the system calculates the corrected heart rate as 68 plus 0.5 times 75 minus 68, which equals 71.5 times per minute, and the blood oxygen as 96 plus 0.5 times 0.8, which equals 96.4. Through the dynamic compensation mechanism, the measurement deviation of heart rate caused by cold environment is effectively eliminated, and the detection result is closer to the real physiological state of the user. At the same time, the blood oxygen correction algorithm avoids the error caused by excessive adjustment, maintains the clinical credibility of the data, and the whole calculation process is efficient and reliable. The fitness bus station can provide more scientific and personalized fitness guidance for users under different environmental conditions, and truly realize the public service innovation of "all-weather intelligent fitness".

[0037] Optionally, the method further comprises: displaying an identity association interface through the touch screen; obtaining a lightweight identity identifier input by the user in the identity association interface; binding the lightweight identity identifier with the environmental correction data to generate user association data; uploading the user association data when the synchronization trigger condition is met.

[0038] Specifically, the system automatically switches the display mode of the touch screen from the fitness result interface to the identity association interface after completing the generation of the environmental correction data. The system captures the user identity information through multiple modal input channels in parallel. For the two-dimensional code scanning mode, the high-definition camera module integrated in the touch screen is called to continuously capture images at a rate of 30 frames per second, and the decoding confidence score is obtained by real-time analyzing the two-dimensional code content through the two-dimensional code analysis library algorithm. If the decoding confidence score is , , wherein, is the recognition confidence (0~1) of the i-th positioning pattern, is a version complexity compensation factor, is the version number of the two-dimensional code, and for the numeric input mode, the soft keyboard with T9 keyboard layout is used to receive the 4-digit mobile phone suffix number, and the 6-digit dynamic verification code obtained through the short message verification interface is spliced into a complete identity identifier. The data format is used to construct the user association data structure, and a unique transaction ID is generated for each binding operation through a hash algorithm. ​The binding process is divided into three steps. First, the lightweight identity is encoded and converted to ensure the transmission security of special characters. Then, the physiological parameters in the environmental correction data are converted into the medical observation resource format according to the health level seven rapid medical interoperability resource standard. Finally, the identity is bound to the physiological data through the digital signature algorithm to generate a timestamp, device and version number of the verifiable data package.

[0039] For example, when the system obtains a lightweight identity and the corrected heart rate value is 71.5 beats / min, first encode the identifier as ,Then the heart rate data is formatted according to the Rapid Medical Interoperability Resource standard, and finally a user-associated data packet with a digital signature is generated, which contains complete transaction trace information. The cross-platform compatibility of medical information is ensured by standardized data format, and the cryptographic binding mechanism prevents data tampering. It achieves full-link tracking and block transmission to optimize network utilization. Through innovative multimodal identity recognition technology and fitness-specific data management mechanisms, the bus stop fitness service not only ensures medical-grade data security but also achieves a convenient user experience, providing a reliable identity authentication solution for smart city fitness infrastructure.

[0040] Optionally, the environmental-physiological parameter correction model includes: The transformation relationship between the real-time environmental parameters and the original physiological parameters is synchronously collected to generate a linear compensation model or a table lookup mapping model.

[0041] Wherein, the environmental-physiological parameter correction model includes the linear compensation model and the table lookup mapping model.

[0042] Specifically, the system collects environmental parameters such as temperature and humidity in real time through environmental sensors, and obtains physiological parameters such as heart rate and blood oxygen through biosensors. The two are aligned with timestamps to form a synchronized data set. When the environmental parameters and physiological parameters show a stable linear correlation, the least squares method is used to fit the linear compensation model. For the compensated blood oxygen in its expression ,have: , in, is the model coefficient, The environmental parameter represents external environmental variables that can affect the physiological parameter measurement. If there is a nonlinear relationship between parameters, a lookup table mapping model is constructed, the environmental parameter is discretized into interval indexes, each index corresponds to a pre-calibrated physiological parameter compensation value, and the final output is determined by nearest neighbor interpolation. The sampling frequency of the environmental sensor and the biological sensor is set to 10Hz, ensuring that the data synchronization accuracy is within 100 milliseconds. Thus, the system can dynamically correct the physiological parameter measurement value according to environmental changes and eliminate environmental interference.

[0043] Exemplarily, when the intelligent wearable device monitors the blood oxygen of a highland mountaineer, the system detects that the decrease in environmental temperature caused by the increase in altitude is linearly related to the decrease in blood oxygen reading, and establishes a linear compensation model to automatically correct the measurement result. When monitoring a diving scene, since the relationship between water pressure and heart rate is complex and nonlinear, the system switches to a lookup table model for compensation. Through the adaptive modeling method, the environmental robustness of physiological parameter measurement is significantly improved, so that the fitness bus station can adapt to the exercise monitoring needs in various complex environments, and provide more scientific and accurate outdoor fitness guidance services for citizens. The real-time performance of the system is particularly optimized to ensure smooth user experience in public transportation scenarios.

[0044] Optionally, the obtaining of the lightweight identity includes: obtaining a first identity by scanning two-dimensional code graphical information provided by a user; generating a second identity by receiving an identity code sent by a near field communication device; obtaining a third identity by identifying a combination of a mobile phone tail number and a verification code input by the user; The lightweight identity includes the first identity, the second identity, and the third identity.

[0045] Specifically, the implementation process of obtaining the first identity by scanning the two-dimensional code graphical information provided by the user is as follows. The system calls the camera module to capture the two-dimensional code image, uses the image processing algorithm to extract the binary data stream in the two-dimensional code, and obtains the original string information after decoding by the decoder. The string needs to comply with the pre-defined identity format specification, and if the verification is passed, the first identity is generated. The implementation process of generating the second identity by receiving the identity code sent by the near field communication device is as follows. The system activates the near field communication module to listen to the communication request in the field strength range, and when a standard-compliant radio frequency signal is detected, the device and the encrypted identity data packet, after decryption, extracts the valid identity code and generates the second identity identifier. The implementation process of obtaining the third identity identifier by identifying the combination of the mobile phone tail number and the verification code input by the user is that the system receives the 4-digit mobile phone tail number and the 6-digit verification code input by the user, splices the two into a 10-digit string, and matches the 10-digit string with the temporary token issued by the server. If they are consistent, the third identity identifier is generated. The above three identity identifiers jointly constitute a lightweight identity identifier set.

[0046] Exemplarily, when the user handles the boarding procedure at the airport self-service check-in device, the user first scans the boarding pass two-dimensional code to generate the first identity identifier, then holds the mobile phone close to the card reader to generate the second identity identifier through near field communication, and finally inputs the mobile phone tail number and the SMS verification code to generate the third identity identifier. The system completes identity verification after merging the three identifiers. By providing multiple identity authentication channels, different user devices and operation habits are adapted, the security is ensured, the service convenience is improved, and the process interruption caused by invalidation of a single authentication mode is avoided.

[0047] Optionally, the contact state signal comprises: Based on the preset detection result confirmation area or interface return area, a specific function area is generated; Based on the contact interruption operation of the user's finger and the specific function area of the touch screen, the contact state signal is generated; The second interaction operation includes the contact interruption operation of the user's finger and the specific function area of the touch screen.

[0048] Specifically, the fitness scene enhances the contact recognition system. The system compares the calculated contact time and displacement distance with the preset threshold value. If the contact time is shorter than the set threshold value and the displacement distance is less than the set threshold value, it is determined that the quick tap interruption is fast. At this time, the system generates the corresponding interruption information and triggers the associated function, such as canceling the current operation or returning to the previous interface. This method accurately captures the time and spatial characteristics of the interruption event, accurately identifies the user's interaction intention, and effectively avoids the error operation caused by accidental touch. Figure 4 As shown in the figure, the user triggers different functions through different screen areas. According to the contact interruption information of the specific function area, a detection result confirmation area or interface return area is generated. The implementation process of generating the detection result confirmation area or the interface return area according to the contact interruption information of the specific function area. The system first analyzes the interruption position coordinates contained in the contact interruption information, and compares them with the pre-defined specific function area boundary coordinates. If the interruption position falls within the coordinate range of the detection result confirmation area, the detection result confirmation area is generated; if the interruption position falls within the coordinate range of the interface return area, the interface return area is generated. For the specific function area determination logic output result , there are: Region = Confirm , if ( X pos ϵ [ X confirm _ min , X confirm _ max ])∧( Y pos ϵ [ Y confirm _ min , Y confirm _ max ]) Return , if ( X pos ϵ [ X confirm _ min , X confirm _ max ])∧( Y pos ϵ [ Y confirm _ min , Y confirm _ max ]) None , ot h erwise , in, Indicates that the finger leaves the position and falls within the detection result confirmation area, triggering the confirmation function Indicates that the finger leaves the position and falls into the return area of ​​the interface, triggering the return function. Indicates that the finger leaves the position and does not fall into any predefined functional area. Indicates that if this condition exists, the result will be the previous one, otherwise the condition will be postponed. It is the horizontal coordinate when the user's finger leaves the touch screen. It is the vertical coordinate when the user's finger leaves the touch screen. and To confirm the minimum and maximum horizontal coordinates of the area, and The minimum and maximum vertical coordinates of the confirmation area.

[0049] For example, when a user is viewing a report in a medical testing application, if their finger leaves the lower-right corner of the screen, the system determines that the test result has been confirmed and generates a dialog box to save the result. If the finger leaves the upper-left corner of the screen, the system determines that the user has returned to the previous interface. Innovative motion-adaptive touch technology solves the interaction challenges in outdoor fitness environments. The system's unique three-dimensional touch detection and dynamic partitioning mechanism enable precise control without requiring specialized manipulation, significantly improving the practicality and user experience of outdoor smart fitness equipment.

[0050] Optionally, the meeting of the synchronization trigger condition includes: Monitoring current network status parameters and system load parameters of the data transmission terminal; Only when the network status parameter is higher than a preset threshold and the system load parameter is lower than a preset load limit, is it marked that the synchronization trigger condition is met.

[0051] Specifically, the system collects communication quality indicators in real time through an integrated multi-dimensional sensing unit. The network status monitoring adopts a three-layer evaluation model: the physical layer reflects the link quality through the received signal strength indicator and signal-to-noise ratio indicators of the wireless network chipset, and the network layer measures the round-trip delay of the cloud server through the Internet Control Message Protocol probe. and packet loss rate, the transport layer counts Retransmission rate and effective bandwidth utilization. The comprehensive scoring formula for network quality of this three-layer evaluation model is: ,have: , in, RSSI, unit: dBm, RSSI, unit: dBm, RTT, unit: ms, RTT, unit: ms, Packet loss rate. System load monitoring includes CPU occupancy, memory remaining and thread queue depth, using a sliding window algorithm to calculate the average load trend within 5 seconds. The preset threshold of network state parameters is ≥-70dBm and RTT≤100ms, configured as the reference voltage of the comparator by the hardware register; the preset limit of system load parameters is CPU occupancy≤60% and memory available≥30%, monitored by the operating system kernel in real time. As shown in Figure 3 , the gray filled area mark meets the above conditions, the network is good, when all conditions need to be met at the same time, the digital logic circuit outputs a high level trigger signal, which is transmitted to the enable end of the data transmission terminal after optical coupling isolation.

[0052] For example, when the system detects that the received signal strength indication is-65dBm, the round trip time is 90ms, CPU occupancy is 55%, and memory available is 35%, the network state comparator outputs 3.3V high level, the load state comparator outputs 3.3V high level, after AND gate circuit and filter delay, finally generates a synchronous enable signal. The hardware level decision mechanism realizes nanosecond level response speed, fully meets the real-time requirements; photoelectric isolation design avoids digital noise interference to analog measurement circuit; filter delay processing effectively suppresses the false trigger caused by accidental parameter fluctuation, ensures the reliability of data transmission opportunity, this deterministic trigger logic is especially suitable for high stability demand in public transportation scene. The hardware level synchronization control module provides nanosecond level response, makes the bus station gym service reach the medical level data reliability standard.

[0053] Optionally, the method further comprises: When the contact interruption operation lasts for a preset length of time, it is judged whether the original physiological parameter is within a preset reasonable physiological range threshold and whether the signal quality index reaches a preset signal-to-noise ratio threshold.

[0054] Specifically, the fitness scenario enhances the synchronous triggering mechanism, and the system presets reasonable physiological range thresholds including a heart rate minimum value to a heart rate maximum value and a blood oxygen minimum value to a blood oxygen maximum value, if the detected original heart rate measurement value is less than the heart rate minimum value or greater than the heart rate maximum value, or the original blood oxygen measurement value is less than the blood oxygen minimum value or greater than the blood oxygen maximum value, it is determined that the data is invalid. At the same time, the system calculates the signal quality index through the embedded health detection module, the value is the ratio of the effective signal strength to the noise strength, if the signal quality index is less than the preset signal-to-noise ratio standard value, it is determined that the detection result is unreliable and is considered invalid. For the validity determination of physiological parameters , there are: , Among them, the original physiological parameter measurement value, and represent the preset reasonable physiological range threshold range, the heart rate minimum value and the heart rate maximum value are set according to age stratification, the blood oxygen minimum value and the blood oxygen maximum value are fixed as the clinically recognized range, and the signal-to-noise ratio standard value is determined by experiment to determine the minimum available signal quality in the noise environment. Thus, the system ensures data validity through a double verification mechanism, first checks physiological reasonableness and then evaluates signal reliability.

[0055] Exemplarily, when an old user uses a smart bracelet to detect heart rate, if the output original heart rate is 40 times per minute due to motion interference, which is lower than the heart rate minimum standard value of 50 times per minute for the old user, the system determines that it is invalid data. At the same time, if the signal quality index is lower than the signal-to-noise ratio standard value due to loose wearing, the result is further marked as unreliable. Through the double filtering mechanism, abnormal data is effectively identified, and false health evaluation caused by device failure or improper user operation is avoided. At the same time, through the innovative motion scene adaptive touch control technology, the interaction problem in the outdoor fitness environment is solved, so that the fitness person can realize precise control without deliberately standardizing the operation, and the practicability and user experience of the outdoor smart fitness device are greatly improved.

[0056] Based on the same inventive concept, as shown in Figure 5 , the present application also provides a touch screen-based smart fitness station physical fitness detection and data synchronization system, which comprises: a multifunctional touch screen module for obtaining a first interactive operation of a user on the touch screen and generating a detection triggering instruction; an embedded health detection module for responding to the detection triggering instruction, collecting a signal quality index and original physiological parameters of a user, and synchronously collecting real-time environmental parameters; an environmental perception module for combining the real-time environmental parameters to perform environmental compensation calculation on the original physiological parameters and generating environmental correction data; A contact detection module is used to obtain a second interactive operation of the user on the touch screen and generate a contact state signal; A condition judgment module, configured to judge whether the contact state signal satisfies a preset synchronization trigger condition; The data communication module is used to activate a preset data transmission terminal to generate the environmental correction data and upload it when the synchronization trigger condition is met.

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings 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 creative efforts shall fall within the scope of protection of the present invention.

[0058] It should be noted that the formulas appearing above can translate physical quantities of different properties into unitless standard values ​​or superimposable parameters of the same dimension through the principle of dimensional consistency and mathematical standardization means (such as normalization, dimensionless parameter conversion or unit system unification), thereby eliminating the interference of different dimensions on the operation logic, so that the formulas have mathematical operation rationality and objective law adaptability while retaining the distribution characteristics of the original data. It is a conventional technical means and will not be elaborated here. The electrical connection between the above-mentioned units does not necessarily mean a direct connection of the circuit. The indirect connection method can be applied to the embodiments of the present invention as long as the purpose of the present invention is achieved. The above is only an exemplary embodiment of the present invention and the scope of the present invention cannot be limited thereto.

[0059] That is, any equivalent changes and modifications made according to the teachings of the present invention are still within the scope of the present invention. Those skilled in the art will readily conceive of other embodiments of the present invention after considering the disclosure of the specification and practical truths. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary technical means in the art not described herein.

Claims

1. A physical fitness detection and data synchronization method based on a touch screen smart fitness station, characterized in that , the method comprises: Obtaining the user's first interactive operation on the touch screen and generating a detection trigger instruction; In response to the detection trigger instruction, the signal quality index and the user's original physiological parameters are collected, and the real-time environmental parameters are collected simultaneously; Performing environmental compensation calculation on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data; Acquire a second interactive operation of the user on the touch screen and generate a contact state signal; determining whether a preset synchronization trigger condition is satisfied based on the contact state signal; When the synchronization trigger condition is met, the preset data transmission terminal is activated to generate the environmental correction data and upload it.

2. A method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 1, characterized in that: The acquiring of the first interactive operation of the user on the touch screen and generating a detection trigger instruction includes: Embed the detection service entrance logo in the touch screen; Detecting a user's click or sliding operation on the detection service entry logo, and generating the detection trigger instruction.

3. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 1, characterized in that: The performing environmental compensation calculation on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data includes: Call the preset environmental-physiological parameter correction model; Inputting the real-time environmental parameters into the environmental-physiological parameter correction model to generate an environmental compensation coefficient; The environmental compensation coefficient is applied to dynamically correct the original physiological parameters to generate the environmental correction data.

4. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 3, characterized in that: The method further comprises: Displaying an identity association interface via a touch screen; Obtaining a lightweight identity identifier entered by the user on the identity association interface; Binding the lightweight identity identifier with the environmental correction data to generate user-related data; When the synchronization trigger condition is met, the user-related data is uploaded.

5. A method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 3, characterized in that: The environmental-physiological parameter correction model includes: Synchronously collecting the transformation relationship between the real-time environmental parameters and the original physiological parameters to generate a linear compensation model or a table lookup mapping model; Wherein, the environmental-physiological parameter correction model includes the linear compensation model and the table lookup mapping model.

6. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 4, characterized in that: Obtaining a lightweight identity includes: Obtain a first identity identifier by scanning the QR code graphic information provided by the user; Generate a second identity by receiving an identity code sent by a near field communication device; Obtain a third identity by identifying the combination of the last digit of the mobile phone number and the verification code entered by the user; The lightweight identity includes the first identity, the second identity, and the third identity.

7. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 1, characterized in that: The contact status signal includes: Generate specific functional areas based on the preset test result confirmation area or interface return area; generating the contact state signal based on an interruption operation of contact between the user's finger and the specific functional area of ​​the touch screen; The second interactive operation includes an operation of interrupting contact between the user's finger and a specific functional area of ​​the touch screen.

8. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 1, characterized in that: The synchronization triggering condition is satisfied as follows: Monitoring current network status parameters and system load parameters of the data transmission terminal; Only when the network status parameter is higher than a preset threshold and the system load parameter is lower than a preset load limit, is it marked that the synchronization trigger condition is met.

9. The method for physical fitness detection and data synchronization based on a touch screen smart fitness station according to claim 8, characterized in that: The method further comprises: When the contact interruption operation continues for a preset time, it is determined whether the original physiological parameter is within a preset reasonable physiological range threshold, and whether the signal quality index reaches a preset signal-to-noise ratio threshold.

10. A physical fitness detection and data synchronization system for a smart fitness station based on a touch screen, applied to a physical fitness detection and data synchronization method for a smart fitness station based on a touch screen as claimed in any one of claims 1 to 9, characterized in that: The system comprises: A multifunctional touch screen module is used to obtain the user's first interactive operation on the touch screen and generate a detection trigger instruction; An embedded health detection module, configured to respond to the detection trigger instruction, collect signal quality indicators and the user's original physiological parameters, and simultaneously collect real-time environmental parameters; An environmental perception module, configured to perform environmental compensation calculation on the original physiological parameters in combination with the real-time environmental parameters to generate environmental correction data; A contact detection module is used to obtain a second interactive operation of the user on the touch screen and generate a contact state signal; A condition judgment module, configured to judge whether the contact state signal satisfies a preset synchronization trigger condition; The data communication module is used to activate a preset data transmission terminal to generate the environmental correction data and upload it when the synchronization trigger condition is met.

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