WO2023185105A1

WO2023185105A1 - Exercise guidance method and apparatus, terminal device, and storage medium

Info

Publication number: WO2023185105A1
Application number: PCT/CN2022/139448
Authority: WO
Inventors: 陈佳洲; 李茂栋; 赵威
Original assignee: Oppo广东移动通信有限公司
Priority date: 2022-03-31
Filing date: 2022-12-16
Publication date: 2023-10-05
Also published as: CN116936027A

Abstract

An exercise guidance method and apparatus, a terminal device, and a storage medium. The method is applied to a terminal device, and may comprise: acquiring first exercise data corresponding to a terminal device, wherein the first exercise data at least comprises a first heart rate and a first exercise speed measured by the terminal device during user exercise; determining target speed variation data corresponding to the first exercise data by means of an exercise guidance model, wherein the described exercise guidance model is obtained by performing training on the basis of historical exercise data recorded by the terminal device, and the historical exercise data comprises a historical heart rate and a historical exercise speed measured by the terminal device during user exercise; and generating exercise guidance information according to the target speed variation data, and outputting the exercise guidance information. By implementing embodiments of the present application, corresponding guidance can be performed on an actual exercise process of a user on the basis of exercise data recorded by a terminal device, thereby facilitating the assistance in reasonably adjusting an exercise state of a user and effectively improving the exercise capability of a user.

Description

Exercise guidance method and device, terminal equipment, storage medium

This application claims priority to the Chinese patent application submitted on March 31, 2022, with the application number 202210345461.7 and the invention title "Exercise Guidance Method and Device, Terminal Equipment, Storage Medium", the entire content of which is incorporated into this application by reference. middle.

Technical field

The present application relates to the technical field of electronic equipment, and in particular, to a movement guidance method and device, terminal equipment, and storage media.

Background technique

Currently, terminal devices (such as smart wearable devices, smartphones, etc.) can often be used to record the user's exercise status, and thereby meet the user's growing needs for sports and health. However, in practice, it is found that the terminal device can often only simply record the motion-related data it detects.

Contents of the invention

Embodiments of the present application disclose an exercise guidance method and device, terminal equipment, and storage medium, which can provide corresponding guidance to the user's actual exercise process based on the exercise data recorded by the terminal equipment, thereby helping the user to reasonably adjust the exercise state, and effectively Improve the user's athletic ability.

The first aspect of the embodiments of this application discloses a motion guidance method, which is applied to terminal equipment. The method includes:

Obtain first motion data corresponding to the terminal device, where the first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user moves;

Target speed change data corresponding to the first motion data is determined through a motion guidance model, wherein the motion guidance model is trained based on historical motion data recorded by the terminal device, and the historical motion data includes the The historical heart rate and historical movement speed detected by the terminal device when the user is exercising;

Motion guidance information is generated based on the target speed change data, and the motion guidance information is output.

The second aspect of the embodiment of the present application discloses a motion guidance device, which is applied to terminal equipment. The motion guidance device includes:

A data acquisition unit configured to acquire first motion data corresponding to the terminal device, where the first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user is exercising;

A target determination unit configured to determine the target speed change data corresponding to the first motion data through a motion guidance model, wherein the motion guidance model is trained based on historical motion data recorded by the terminal device, and the Historical motion data includes historical heart rate and historical motion speed detected by the terminal device when the user is exercising;

A motion guidance unit is configured to generate motion guidance information according to the target speed change data and output the motion guidance information.

The third aspect of the embodiment of the present application discloses a terminal device, which includes a memory and a processor. A computer program is stored in the memory. When the computer program is executed by the processor, the processor implements the application as described in the present application. All or part of the steps in any exercise guidance method disclosed in the first aspect of the embodiment.

The fourth aspect of the embodiment of the present application discloses a computer-readable storage medium that stores a computer program, wherein when the computer program is executed by a processor, any one of the exercise guidance methods disclosed in the first aspect of the embodiment of the present application is implemented. all or part of the steps.

The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below. Other features and beneficial effects of the application will be apparent from the description, drawings and claims.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is a schematic diagram of an application scenario of a sports guidance method disclosed in the embodiment of the present application;

Figure 2 is a schematic flowchart of an exercise guidance method disclosed in the embodiment of the present application;

Figure 3 is a schematic flow chart of another exercise guidance method disclosed in the embodiment of the present application;

Figure 4 is a schematic flowchart of yet another exercise guidance method disclosed in the embodiment of the present application;

Figure 5A is a modular schematic diagram of a terminal device disclosed in an embodiment of the present application;

Figure 5B is a modular schematic diagram of another terminal device disclosed in the embodiment of the present application;

Figure 6A is a schematic spectrum diagram of the first detection signal disclosed in the embodiment of the present application;

Figure 6B is a schematic diagram of performing noise reduction processing on the first detection signal through the spectrum characteristics of the second detection signal disclosed in the embodiment of the present application;

Figure 7A is a schematic diagram of a graphical user interface disclosed in an embodiment of the present application;

Figure 7B is a schematic diagram of another graphical user interface disclosed in the embodiment of the present application;

Figure 7C is a schematic diagram of yet another graphical user interface disclosed in the embodiment of the present application;

Figure 8 is a modular schematic diagram of a sports guidance device disclosed in the embodiment of the present application;

Figure 9 is a modular schematic diagram of yet another terminal device disclosed in the embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of this application are intended to cover non-exclusive inclusions, for example, processes, methods, systems, products or products that include a series of steps or units. Apparatus are not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such processes, methods, products or devices.

A detailed description will be given below with reference to the accompanying drawings.

Please refer to Figure 1. Figure 1 is a schematic diagram of an application scenario of a sports guidance method disclosed in an embodiment of the present application. As shown in FIG. 1 , when the user 100 performs exercise, the terminal device 200 carried or worn by the user 100 can record corresponding exercise data. For example, the above-mentioned motion data may include the corresponding heart rate, motion speed, acceleration, etc. of the user 100 during the motion. In some embodiments, the above motion data can be directly detected by the built-in sensor of the terminal device 200; in other embodiments, the above mentioned motion data can also be further calculated based on the detection results of the built-in sensor of the terminal device 200. Analyze what you get.

For example, the terminal device 200 may include various devices or systems equipped with sensors for recording motion-related data (such as photoplethysmogram PPG modules, acceleration sensors, etc.), such as smart phones, smart watches, smart bracelets, etc. , there is no specific limitation in the embodiments of this application. Further, the terminal device 200 can be equipped with an operating system, such as Android operating system, iOS operating system, Symbian operating system, Windows operating system, etc., for installing sports and health-related applications, or Implement system functions related to sports and health. It can be understood that the terminal device 200 shown in FIG. 1 is a smart watch. This is only an example and should not be regarded as a limitation on the device type of the terminal device 200 in the embodiment of the present application.

In this embodiment of the present application, the user 100 can perform various forms of exercise such as running. During this process, the terminal device 200 can record corresponding exercise data in real time through its built-in sensor. Taking running as an example, in order to adaptively adjust the movement state of the user 100 to match the actual movement ability of the user 100 and achieve the established exercise goal, the terminal device 200 can obtain the first movement corresponding to the terminal device 200 data. The above-mentioned first motion data may at least include the first heart rate and the first motion speed detected by the terminal device 200 when the user 100 moves. On this basis, the terminal device 200 can determine the target speed change data corresponding to the above-mentioned first movement data through the pre-trained movement guidance model, and generate corresponding movement guidance information based on the target speed change data, and then output the movement guidance information to provide users 100 with targeted exercise guidance.

The above-mentioned exercise guidance model may be trained based on the historical exercise data recorded by the terminal device 200 . The historical exercise data may include the historical heart rate detected by the terminal device 200 when the user 100 performed exercise in the past. Historical movement speed, so that the trained movement guidance model can accurately match the movement ability of the user 100, thereby helping to improve the accuracy and reliability of movement guidance by the terminal device 200.

By implementing the above exercise guidance method, the terminal device 200 can use the historical exercise data of the user 100 to train the exercise guidance model, thereby accurately determining the exercise ability of the user 100, and then during the actual exercise process of the user 100, based on the training The motion guidance model and the currently recorded user motion data are used to provide targeted motion guidance for the user 100 to assist the user 100 to reasonably adjust his motion state. Such an exercise guidance method can provide real-time feedback and guidance on the actual exercise process of the user 100, and try to avoid the heart rate of the user 100 being too high or too low during exercise, which is conducive to ensuring the exercise health of the user 100, and thus helping the user 100 achieve the established exercise goals and effectively improve the user's 100 exercise ability.

Please refer to Figure 2. Figure 2 is a schematic flowchart of a movement guidance method disclosed in an embodiment of the present application. The movement guidance method can be applied to the above-mentioned terminal device. As shown in Figure 2, the motion guidance method may include the following steps:

202. Obtain the first motion data corresponding to the terminal device. The first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user moves.

In the embodiment of this application, taking the user's running exercise as an example, the terminal device can record the user's first motion data during the exercise through its built-in sensor, and can then perform the following steps based on the first motion data. Compute and analyze to determine the corresponding target speed data for adaptive adjustment of the user's motion state (specifically, it may include the user's motion speed, acceleration, etc.).

Wherein, the above-mentioned first motion data may at least include the first heart rate and the first motion speed detected by the terminal device when the user moves. For example, the terminal device may include a photoplethysmograph (PPG) module, an acceleration sensor, a positioning module (such as a Beidou module, a GPS module, etc.), a gyroscope, and other sensors, and may be acquired through designated sensors. The above first motion data.

In some embodiments, when the terminal device needs to obtain the user's first heart rate during exercise, the user's pulse wave can be detected through the PPG module to obtain the corresponding user's heart rate, and use it as the condition of the user's exercise. The first heart rate detected. Optionally, since the pulse wave signal detected by the PPG module usually contains a certain amount of motion noise, the terminal device can also perform noise reduction on the pulse wave signal based on the detection results of sensors such as acceleration sensors and gyroscopes to improve the performance of the terminal. The device obtains the accuracy of the user's first heart rate during exercise.

In some embodiments, when the terminal device needs to obtain the user's first movement speed during exercise, the user's acceleration can be detected through an acceleration sensor. On this basis, since there are usually certain differences in the total acceleration characteristics of users at different movement speeds (such as the total acceleration values corresponding to the acceleration components on each direction axis, etc.), the terminal device can analyze and determine the corresponding response based on the detection results of the above acceleration sensor. The movement speed is used as the first movement speed detected when the user moves. Optionally, the terminal device can further obtain the user's own height information, and combine the detection results of the above-mentioned acceleration sensor and the user's height information to estimate the user's real-time movement speed as the first detected speed when the user is moving. Movement speed.

In some embodiments, the terminal device may also obtain the first movement speed of the user during movement through the positioning module. For example, the terminal device can determine the user's movement distance within the first time period based on the positioning data detected by the positioning module within the first time period (such as 3 seconds, 5 seconds, etc.), and then divide the movement distance by For the first duration, the average speed of the user in the first duration is obtained. If the first duration is short enough, the terminal device may use the average speed as the first movement speed detected in real time when the user moves.

204. Determine the target speed change data corresponding to the first motion data through the motion guidance model. The above motion guidance model is trained based on the historical motion data recorded by the terminal device. The historical motion data includes the movements of the terminal device during the user's motion. The historical heart rate and historical movement speed detected under the condition.

In this embodiment of the present application, in order to adaptively adjust the user's motion status, after acquiring the above-mentioned first motion data, the terminal device can determine the target corresponding to the first motion data through a pre-trained motion guidance model. Variable speed data. For example, the target speed change data may include target movement speed, target acceleration, etc., to guide the user to adjust the current movement speed to achieve the set exercise target.

In some embodiments, the above-mentioned exercise training target may include a target heart rate that the user needs to achieve during exercise. The target heart rate may include a heart rate that the user is expected to achieve during exercise (for example, 70% of the user's maximum heart rate, 70% of the user's maximum heart rate, 70% of the difference from the resting heart rate, etc.), that is, after the user performs shifting corresponding to the target shifting data within a certain period of time, the user needs to change from the current first heart rate to the target heart rate, in order to promote the improvement of the user's exercise ability. In this process, the above-mentioned motion guidance model can take the first motion data and the target heart rate as input, and output the corresponding target speed change data.

For example, taking the target speed change data including target acceleration as an example (that is, the terminal device instructs the user to maintain the target acceleration within a certain period of time), in order to determine the target acceleration corresponding to the above-mentioned first motion data, the terminal device may first determine the target acceleration according to the first motion data. The first heart rate included in the exercise data, and the preset target heart rate (for example, set by the user, or using a specified reference value, may include 70% of the user's maximum heart rate, the difference between the user's maximum heart rate and the resting heart rate 70%, etc.), the corresponding target heart rate change rate is calculated. The target heart rate change rate can represent the user's change from the current first heart rate to the target heart rate within a second period of time (such as 3 seconds, 5 seconds, 1 minute, etc.). The desired heart rate variability. On this basis, the terminal device can determine the output target acceleration according to the above-mentioned first heart rate, first movement speed and target heart rate change through the exercise guidance model. In subsequent steps, the terminal device can guide the user to adjust the movement speed based on the target acceleration so that the user's heart rate reaches the above target heart rate.

Among them, the training of the above-mentioned motion guidance model can also be implemented based on the user's historical motion data such as motion speed, acceleration, user heart rate, heart rate change rate, etc., which have corresponding relationships. In the embodiment of this application, the terminal device can record historical motion data including historical heart rate and historical motion speed when the user carries or wears the terminal device for exercise for the first time, and then the historical motion data can be used as a training sample. , to train the motion guidance model to be trained.

For example, the terminal device can calculate the corresponding historical heart rate change rate and historical acceleration based on the historical heart rate and historical movement speed detected by the terminal device when the user moves in each time period. On this basis, the terminal device can use the above-mentioned historical heart rate, historical movement speed, historical acceleration and historical heart rate change rate as sample data, and train the exercise guidance model through the sample data to obtain a trained exercise guidance model. Optionally, the above training process can be implemented using the recursive least squares method of memory elimination (Eliminate to remember gradually of pass and push minimum two multiplications), or other supervised or unsupervised training algorithms.

Optionally, the above training process can be performed locally on the terminal device, or the terminal device can upload the above historical heart rate, historical movement speed, historical acceleration and historical heart rate change rate to the cloud or other smart devices connected to the terminal device, and upload them to the cloud or other smart devices connected to the terminal device. The corresponding sample model training process is performed on the cloud or the smart device.

206. Generate motion guidance information according to the target speed change data, and output the motion guidance information.

In this embodiment of the present application, after the terminal device outputs the target speed change data corresponding to the above-mentioned first movement data through the movement guidance model, the corresponding movement guidance information can be determined based on the target speed change data. In some embodiments, the target speed change data may include target acceleration, and the terminal device may generate and output motion guidance information corresponding to the target acceleration to guide the user to maintain the target acceleration within a certain period of time. In other embodiments, the target speed change data may also include a target movement speed, and the terminal device may generate and output movement guidance information corresponding to the target movement speed to guide the user to accelerate or decelerate within a certain period of time to get from the current The first movement speed is converted into the target movement speed.

For example, the above-mentioned exercise guidance information may include various forms, such as voice information (output through the speaker of the terminal device), vibration information (corresponding output through the vibration motor of the terminal device), graphic information (displayed through the screen of the terminal device) output), etc., are not specifically limited in the embodiments of this application.

It can be seen that by implementing the sports guidance method described in the above embodiment, the terminal device can use the user's historical motion data to train the motion guidance model, thereby accurately determining the user's motion ability, and then based on the user's actual motion process. The trained motion guidance model and the currently recorded user motion data provide targeted motion guidance for the user to assist the user in rationally adjusting his motion status. Such an exercise guidance method can provide real-time feedback and guidance on the user's actual exercise process, and try to avoid the user's heart rate being too high or too low during exercise, which is conducive to ensuring the user's exercise health and helping the user achieve the established goals. Sports training goals can effectively improve the user's sports ability.

Please refer to Figure 3. Figure 3 is a schematic flowchart of another exercise guidance method disclosed in an embodiment of the present application. This exercise guidance method can be applied to the above-mentioned terminal device. As shown in Figure 3, the motion guidance method may include the following steps:

302. Obtain the first motion data corresponding to the terminal device. The first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user moves.

304. Determine the target speed change data corresponding to the first motion data through the motion guidance model. The above motion guidance model is trained based on the historical motion data recorded by the terminal device. The historical motion data includes the movements of the terminal device during the user's movements. The historical heart rate and historical movement speed detected under the condition.

306. Generate motion guidance information according to the target speed change data, and output the motion guidance information.

Among them, step 302, step 304 and step 306 are similar to the above-mentioned step 202, step 204 and step 206, and will not be described again here.

308. Obtain second motion data corresponding to the terminal device. The second motion data at least includes the second heart rate and the second motion speed detected by the terminal device when the user exercises based on the above motion guidance information.

Among them, step 308 is similar to the above-mentioned step 302. In this embodiment of the present application, the terminal device determines the corresponding target speed change data based on the first motion data, and generates motion guidance information accordingly to guide the user to adjust his or her own motion state (specifically, it may include the user's motion speed, After the user continues to exercise or performs exercise next time, the second motion data detected by the terminal device can be obtained, and the above-mentioned motion guidance model can be updated synchronously based on the second motion data. Wherein, the above-mentioned second exercise data may at least include the second heart rate and the second exercise speed detected by the terminal device after the user has changed speed based on the above-mentioned exercise guidance information.

310. Calculate the updated heart rate change rate and the updated acceleration according to the above-mentioned second heart rate and second movement speed respectively.

In this embodiment of the present application, the terminal device can obtain the second heart rate and the second movement speed detected by its built-in sensor within a third period of time (such as 3 seconds, 5 seconds, 1 minute, etc.), and then can calculate the corresponding The updated heart rate change rate and updated acceleration are used to update the motion guidance model in subsequent steps.

312. Update the above-mentioned exercise guidance model according to the second heart rate, the second movement speed, the updated heart rate change rate, and the updated acceleration.

In some embodiments, the terminal device may calculate corresponding model update parameters based on the second heart rate, second exercise speed, updated heart rate change rate, and updated acceleration, and adjust the exercise guidance model based on the model update parameters.

In other embodiments, the process of updating the above-mentioned exercise guidance model may also be similar to the process of initial training of the exercise guidance model, that is, the terminal device may update the above-mentioned second heart rate, second exercise speed, and updated heart rate change. The rate and updated acceleration are used as new sample data, and the motion guidance model is retrained through the sample data to obtain an updated motion guidance model.

Optionally, the above-mentioned update process can be performed locally on the terminal device, or the terminal device can upload the above-mentioned second heart rate, second movement speed, updated heart rate change rate, and updated acceleration to the cloud or other smart devices connected to the terminal device, And perform the corresponding model update process in the cloud or on the smart device.

It can be seen that by implementing the sports guidance method described in the above embodiment, the terminal device can use the user's historical motion data to train the motion guidance model, thereby accurately determining the user's motion ability, which is conducive to improving the accuracy of the terminal device's motion guidance. and reliability. Such an exercise guidance method can provide real-time feedback and guidance on the user's actual exercise process to assist the user in rationally adjusting his or her exercise status, and try to avoid the user's heart rate being too high or too low during exercise, which is conducive to protecting the user's health. sports health, thereby helping users achieve established exercise goals and effectively improving users’ exercise abilities. In addition, the terminal device can also continue to collect corresponding motion data during the user's subsequent exercise, and synchronously update the above-mentioned motion guidance model based on the new motion data, thereby ensuring the reliability of the motion guidance model and further improving the terminal Accuracy of equipment for exercise guidance.

Please refer to Figure 4. Figure 4 is a schematic flow chart of yet another exercise guidance method disclosed in an embodiment of the present application. This exercise guidance method can be applied to the above-mentioned terminal equipment. The terminal equipment can include a photoplethysmograph PPG module and an acceleration sensor. . Optionally, the terminal device may also include a positioning module. As shown in Figure 4, the motion guidance method may include the following steps:

402. Collect the first detection signal through the PPG module, and collect the second detection signal through the acceleration sensor.

For example, please refer to FIG. 5A , which is a modular schematic diagram of a terminal device disclosed in an embodiment of the present application. As shown in FIG. 5A , the terminal device 50 may include a control processing module 51 , a PPG module 52 and an acceleration sensor 53 . The control processing module 51 may be electrically connected to the PPG module 52 and the acceleration sensor 53 respectively to obtain the values collected by the corresponding sensors. detection signal. The above-mentioned control processing module 51 may include a unit with control and data processing capabilities such as an MCU (Microcontroller Unit), which is not specifically limited in the embodiments of this application.

In this embodiment of the present application, the terminal device can detect the user's pulse wave through its built-in PPG module and collect the corresponding first detection signal. The first detection signal can correspond to the user's first pulse wave during exercise. One heartbeat. At the same time, the terminal device can also detect the user's acceleration during running through its built-in acceleration sensor, and collect a corresponding second detection signal. The second detection signal can be used to further determine the user's acceleration during exercise. First movement speed. It should be noted that both the above-mentioned first detection signal and the second detection signal can be processed by the DFT (Discrete Fourier Transform) algorithm to convert them from the time domain to the frequency domain to facilitate the processing in the terminal equipment. The control processing module analyzes and processes it.

404. According to the first detection signal and the second detection signal, obtain the corresponding first heart rate when the user is exercising.

In this embodiment of the present application, since the pulse wave signal detected by the PPG module is easily interfered by motion noise when the user is running, the first detection signal output by the PPG module may not faithfully reflect the user's movements during exercise. First heart rate. In this regard, the terminal device can perform noise reduction processing on the above-mentioned first detection signal based on the detection results of other built-in sensors (such as acceleration sensor, gyroscope, etc.) to improve the terminal device's ability to obtain the user's first heart rate during exercise. accuracy.

In some embodiments, the terminal device can perform corresponding noise reduction processing on the above-mentioned first detection signal according to the second detection signal collected by the acceleration sensor, so as to reduce or eliminate motion noise in the first detection signal. For example, after acquiring the first detection signal and the second detection signal respectively, the control processing module in the terminal device may first acquire the spectrum characteristics of the second detection signal, and the spectrum characteristics may represent the actual movement frequency of the user. Further, in the case where the above-mentioned spectrum characteristics represent user movement, the terminal device may perform noise reduction processing on the above-mentioned first detection signal according to the spectrum characteristics, and determine based on the first detection signal after the noise reduction processing in the case of user movement. The corresponding first heart rate. As shown in Figures 6A and 6B, Figure 6A is a schematic spectrum diagram of the first detection signal disclosed in the embodiment of the present application, and Figure 6B is a spectrum analysis of the first detection signal based on the spectrum characteristics of the second detection signal disclosed in the embodiment of the present application. Schematic diagram of noise reduction processing. Among them, the component corresponding to the user's pulse wave signal in the first detection signal can be shown as a solid line A1, and the motion noise component deviating from the pulse wave signal can be shown as a solid line A2. It can be seen that the motion noise in Figure 6A has been shown in Figure 6B is effectively cleared, leaving a clearer pulse wave signal, which can correspond to the user's first heart rate during exercise.

Optionally, the terminal device can use the LMS (Least Mean Square) algorithm to use the spectrum characteristics of the second detection signal as a reference for the motion noise in the first detection signal to eliminate the above-mentioned motion from the first detection signal. noise.

Optionally, before the terminal device performs noise reduction processing on the above-mentioned first detection signal, it can also determine whether the user is currently exercising through the second detection signal to avoid misjudgment of the first detection when the user is not actually exercising. Motion noise in the signal. For example, the terminal device can determine the corresponding acceleration data based on the above-mentioned second detection signal, and then can determine the actual motion state of the user based on the acceleration data, and perform the above-mentioned noise reduction processing when the user is moving to ensure that the second detection signal is correct. 1. The accuracy and effectiveness of noise reduction processing of detection signals.

406. According to the above-mentioned second detection signal, obtain the corresponding first movement speed when the user moves.

In the embodiment of the present application, since there are usually certain differences in the total acceleration characteristics of the user at different movement speeds (such as the total acceleration values corresponding to the acceleration components on each direction axis, etc.), the terminal device can collect the second detection value based on the acceleration sensor. The signal determines the corresponding acceleration data, and based on this, the user's first movement speed during exercise is estimated.

In some embodiments, considering that the user's height information will also affect the user's movement speed and acceleration during exercise, the terminal device can also combine the user's height information to further improve the accuracy of estimating the above-mentioned first movement speed. and reliability. For example, the terminal device may first obtain the spectrum characteristics of the second detection signal, and then determine the corresponding first movement speed when the user moves based on the spectrum characteristics and the pre-acquired user height data.

Optionally, the terminal device may also be provided with a positioning module, and determine the first movement speed of the user during movement through the positioning data detected by the positioning module. For example, please refer to FIG. 5B. In addition to the control processing module 51, the PPG module 52 and the acceleration sensor 53, the terminal device 50 may further include a positioning module 54. The positioning module 54 may also be electrically connected to the control processing module 51 to The positioning data collected is transmitted to the control processing module 51 .

In some embodiments, the terminal device may combine the second detection signal collected by the acceleration sensor and the positioning data collected by the positioning module to jointly determine the corresponding first movement speed when the user moves. For example, when the user is moving, the terminal device can obtain corresponding positioning data through the positioning module, and after obtaining the above-mentioned second detection signal through the acceleration sensor, further obtain the spectrum characteristics of the second detection signal. On this basis, the terminal device can obtain the corresponding first movement speed when the user moves based on the spectrum characteristics and positioning data. Optionally, the above-mentioned positioning data can be used to correct the spectral characteristics of the second detection signal to indirectly improve the accuracy of determining the first movement speed; it can also be used to pre-acquire the positioning data based on the spectral characteristics of the second detection signal and After the first movement speed is determined based on the user's height data, the first movement speed is corrected to directly improve the accuracy of determining the first movement speed.

408. Calculate the target heart rate change rate based on the above-mentioned first heart rate and target heart rate.

410. Through the exercise guidance model, determine the output target acceleration according to the first heart rate, the first exercise speed and the target heart rate change. The target acceleration is used to guide the user to adjust the exercise speed so that the user's heart rate reaches the above target heart rate.

Among them, step 408 and step 410 are similar to the above-mentioned step 204 and will not be described again here.

412. Based on the above target acceleration, determine the speed change guidance information corresponding to the target acceleration.

In this embodiment of the present application, the terminal device can determine the speed change guidance information corresponding to the target speed change data based on the target speed change data output by the motion guidance model. Wherein, the target speed change data may include target acceleration, and the motion guidance information determined based on the target acceleration may at least include corresponding speed change guidance information. For example, the terminal device can generate corresponding speed change guidance information according to the above target acceleration, and output the speed change guidance information in subsequent steps to guide the user to maintain the above target acceleration within a certain period of time, so as to adapt to the user's movement speed. Adjustments can be made to achieve the set exercise goals.

414. Based on the above-mentioned speed change guidance information, generate a corresponding guidance output signal, and control the terminal device to output the guidance output signal, wherein the above-mentioned guidance output signal includes one or more of a voice signal, a vibration signal, and a screen display signal.

In some embodiments, the terminal device can generate a corresponding voice signal based on the above-mentioned speed change guidance information, and then can output the voice signal through a built-in microphone of the terminal device to prompt the user to perform the corresponding speed change. Optionally, the terminal device can also send the voice data corresponding to the above-mentioned voice signal to a headset device that is communicatively connected to the terminal device, and play the corresponding voice signal through the headset device.

In other embodiments, the terminal device can generate a corresponding vibration signal based on the above-mentioned speed change guidance information, and then can drive the vibration motor built in the terminal device to perform vibration output corresponding to the above-mentioned vibration signal to prompt the user to perform the corresponding speed change. Optionally, the intensity and frequency of vibration output by the vibration motor can be related to the specific speed change situation represented by the above speed change guidance information. For example, when the speed change guidance information indicates that the user should speed up, the vibration motor can perform vibration output according to the specified first intensity; when the speed change guidance information indicates that the user should slow down, the vibration motor can vibrate according to the specified second intensity (difference). Perform vibration output at the above-mentioned first intensity). For example, if the speed change guidance information indicates that the absolute value of the acceleration that the user should accelerate or decelerate is larger, the vibration motor can perform corresponding vibration output at a higher frequency.

In some embodiments, the terminal device can generate a corresponding screen display signal based on the above-mentioned speed change guidance information, and then can drive the screen of the terminal device to output the corresponding speed change guidance information. For example, when the speed change guidance information indicates that the user should accelerate, an upward arrow can be displayed on the screen as shown in Figure 7A, and the corresponding target acceleration can be displayed through graphics and text; when the speed change guidance information indicates that the user should slow down , as shown in Figure 7B, a downward arrow can be displayed on the screen, and the corresponding target acceleration can also be displayed through graphics and text.

Optionally, the terminal device can perform the above exercise guidance in a certain exercise mode. For example, when the user carries or wears the terminal device for exercise for the first time, the user can select a sports mode on the terminal device. Exemplary sports modes may include "indoor running", "outdoor running", etc., and collect the data of this movement. Complete training of the motion guidance model. When the user carries or wears the terminal device for exercise again, the terminal device can enter the "comfortable running" mode and, based on the first motion data collected, output corresponding motion guidance information (such as speed change) through the trained motion guidance model. guidance information, etc.). As shown in Figure 7C, before entering the "comfortable running" mode, the user can set the target heart rate for this running exercise, so that after starting this running exercise, the user can use the target heart rate and perform real-time monitoring during this running exercise. For the collected first motion data, the corresponding target speed change data (such as target acceleration, etc.) is determined through the above-mentioned motion guidance model, and motion guidance information corresponding to the target speed change data is output in real time.

416. Obtain the first average speed detected by the terminal device during the first exercise period, and the second average speed detected during the second exercise period, where the first exercise period is the period during which the user moves. , the time period from the start of exercise until the user's heart rate reaches the target heart rate; the second exercise period is the time period from the start of exercise until the user's heart rate reaches the above-mentioned target heart rate during the user's last exercise.

In this embodiment of the present application, the terminal device can obtain the target heart rate that the user needs to achieve during running (for example, set by the user, or use a specified reference value), and convert the current first heart rate to the target heart rate according to the user's current first heart rate. The corresponding moving distance and the time spent during the movement are calculated to obtain the user's average movement speed within that time period.

On this basis, in order to determine whether the user's own exercise ability has improved when using the terminal device for exercise guidance, the terminal device can obtain the user's average movement speed in different time periods and further calculate it in subsequent steps. The user's athletic ability data. For example, the terminal device can obtain the first average speed of the user during the first exercise period during this exercise (that is, the time period from the start of the user's exercise until the user's heart rate reaches the target heart rate during this exercise), And the second average speed in the second exercise period during the last exercise (that is, the time period from the start of exercise until the user's heart rate reaches the above target heart rate during the user's last exercise), and in subsequent steps based on the The first average speed and the second average speed are used to calculate corresponding athletic ability data. The target heart rate may be the same as the target heart rate set in step 408, or may be different.

418. Calculate athletic ability data based on the first average speed and the second average speed. The athletic ability data is used to represent changes in athletic ability when the user exercises based on the exercise guidance information.

In this embodiment of the present application, the terminal device can assist the user in understanding whether his or her actual athletic ability has improved by calculating the user's athletic ability data. For example, after acquiring the above-mentioned first average speed v _m1 and second average speed v _m2 , the terminal device can calculate the corresponding athletic ability data through the following formula 1.

Formula 1:

Among them, the athletic ability data p can be used to represent changes in athletic ability when the user exercises based on the above-mentioned exercise guidance information. The larger the value of p, the higher the improvement in the user's athletic ability, so that timely feedback can be provided to the user. The improvement effect of terminal equipment on sports ability after providing exercise guidance is conducive to improving the interactivity of terminal equipment and further optimizing user experience.

It can be seen that by implementing the sports guidance method described in the above embodiment, the terminal device can use the user's historical motion data to train the motion guidance model, thereby accurately determining the user's motion ability, which is conducive to improving the accuracy of the terminal device's motion guidance. and reliability. Such an exercise guidance method can provide real-time feedback and guidance on the user's actual exercise process to assist the user in rationally adjusting his or her exercise status, and try to avoid the user's heart rate being too high or too low during exercise, which is conducive to protecting the user's health. sports health, thereby helping users achieve established exercise goals and effectively improving users’ exercise abilities. In addition, cross-validation of the user's motion data through the detection results of multiple sensors can help eliminate the impact of motion noise as much as possible and further improve the accuracy of motion guidance by terminal devices. In addition, by outputting the above-mentioned sports guidance information, it is also helpful to improve the interactivity of the terminal device to optimize the user experience and better assist users to improve their own sports abilities.

Please refer to FIG. 8 , which is a modular schematic diagram of a motion guidance device disclosed in an embodiment of the present application. The motion guidance device can be applied to the above-mentioned terminal equipment. As shown in Figure 8, the exercise guidance device may include data acquisition 801, target determination 802 and exercise guidance unit 803, wherein:

The data acquisition unit 801 is used to acquire the first motion data corresponding to the terminal device. The first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user moves;

The target determination unit 802 is configured to determine the target speed change data corresponding to the first motion data through a motion guidance model, wherein the above motion guidance model is obtained by training based on historical motion data recorded by the terminal device, and the historical motion data includes the terminal The historical heart rate and historical movement speed detected by the device when the user is exercising;

The exercise guidance unit 803 is configured to generate exercise guidance information according to the target speed change data and output the exercise guidance information.

It can be seen that using the sports guidance device described in the above embodiments, the terminal device can use the user's historical motion data to train the motion guidance model, thereby accurately determining the user's motion ability, and then based on the user's actual motion process. The trained motion guidance model and the currently recorded user motion data provide targeted motion guidance for the user to assist the user in rationally adjusting his motion status. Such an exercise guidance method can provide real-time feedback and guidance on the user's actual exercise process, and try to avoid the user's heart rate being too high or too low during exercise, which is conducive to ensuring the user's exercise health and helping the user achieve the established goals. Sports training goals can effectively improve the user's sports ability.

In one embodiment, the target speed change data may include target acceleration, and the target determination unit 802 may be used to:

Calculate the target heart rate change rate based on the first heart rate and the target heart rate;

Through the exercise guidance model, the output target acceleration is determined based on the first heart rate, the first exercise speed, and the target heart rate change. The target acceleration is used to guide the user to adjust the exercise speed so that the user's heart rate reaches the target heart rate.

In one embodiment, before the target determination unit 802 determines the target speed change data corresponding to the first motion data through the motion guidance model, the training method of the motion guidance model may specifically include:

Calculate the historical heart rate change rate and historical acceleration based on the historical heart rate and historical movement speed detected by the terminal device when the user is exercising;

Taking the historical heart rate, historical movement speed, historical acceleration and historical heart rate change rate as sample data, the exercise guidance model is trained through the sample data to obtain the trained exercise guidance model.

In one embodiment, the motion guidance device may further include a first calculation unit and a model update unit (not shown), wherein:

The above-mentioned data acquisition unit 801 can also be used to acquire second motion data corresponding to the terminal device. The second motion data can at least include the second heart rate and the third heart rate detected by the terminal device when the user performs exercise based on the motion guidance information. 2. Movement speed;

The first calculation unit is used to calculate and update the heart rate change rate and update the acceleration according to the second heart rate and the second movement speed respectively;

The model update unit is used to update the exercise guidance model according to the second heart rate, the second exercise speed, the updated heart rate change rate, and the updated acceleration.

In one embodiment, the terminal device may include a photoplethysmogram PPG module and an acceleration sensor. When acquiring the first motion data corresponding to the terminal device, the above-mentioned data acquisition unit 801 may be specifically used to:

The first detection signal is collected through the PPG module, and the second detection signal is collected through the acceleration sensor;

According to the first detection signal and the second detection signal, obtain the corresponding first heart rate when the user is moving; and,

According to the second detection signal, the corresponding first movement speed in the case of user movement is obtained.

Wherein, when the data acquisition unit 801 obtains the first heart rate corresponding to the user's movement according to the first detection signal and the second detection signal, it may specifically include:

Obtain the spectrum characteristics of the second detection signal;

When the spectral features represent the user's movement, the first detection signal is subjected to noise reduction processing according to the spectrum characteristics, and the first heart rate corresponding to the user's movement is determined based on the first detection signal after the noise reduction processing.

Wherein, when the data acquisition unit 801 acquires the first motion speed corresponding to the user's motion according to the second detection signal, it may specifically include:

Obtain the spectrum characteristics of the second detection signal;

According to the spectrum characteristics and the user's height data, the first movement speed corresponding to the user's movement is determined.

In one embodiment, the terminal device may also include a positioning module, and the motion guidance device may also include a positioning unit (not shown). The positioning unit may be used to obtain, in the above-mentioned data acquisition unit 801, according to the second detection signal. Obtain positioning data through the positioning module before the corresponding first movement speed when the user is moving;

The above data acquisition unit 801 can be specifically used for:

According to the second detection signal and positioning data, the corresponding first movement speed when the user moves is obtained.

In one embodiment, the above-mentioned motion guidance information may at least include speed change guidance information, and the above-mentioned motion guidance unit 803 may be specifically used to:

According to the target shifting data, determine the shifting guidance information corresponding to the target shifting data;

Based on the speed change guidance information, a corresponding guidance output signal is generated, and the terminal device is controlled to output the guidance output signal, where the guidance output signal includes one or more of a voice signal, a vibration signal, and a screen display signal.

In one embodiment, the exercise guidance device may further include a second computing unit (not shown), wherein:

The above-mentioned data acquisition unit 801 can also be used to obtain the first average speed detected by the terminal device during the first exercise period, and the second average speed detected during the second exercise period, wherein the first exercise period It is the time period from when the user starts exercising until the user's heart rate reaches the target heart rate during this exercise; the second exercise period is the time period from when the user starts exercising until the user's heart rate reaches the target heart rate during the last exercise;

The second calculation unit is configured to calculate athletic ability data based on the first average speed and the second average speed. The athletic ability data is used to represent changes in athletic ability when the user performs exercise based on the exercise guidance information.

It can be seen that by using the sports guidance device described in the above embodiments, the terminal device can use the user's historical motion data to train the motion guidance model, thereby accurately determining the user's motion ability, which is beneficial to improving the accuracy of the terminal device's motion guidance. and reliability. Such an exercise guidance method can provide real-time feedback and guidance on the user's actual exercise process to assist the user in rationally adjusting his or her exercise status, and try to avoid the user's heart rate being too high or too low during exercise, which is conducive to protecting the user's health. sports health, thereby helping users achieve established exercise goals and effectively improving users’ exercise abilities. In addition, the terminal device can also continue to collect corresponding motion data during the user's subsequent exercise, and synchronously update the above-mentioned motion guidance model based on the new motion data, thereby ensuring the reliability of the motion guidance model and further improving the terminal Accuracy of equipment for exercise guidance. In addition, cross-validating the user's motion data through the detection results of multiple sensors can also help eliminate the impact of motion noise as much as possible, and further improve the accuracy of motion guidance by terminal devices. In addition, by outputting the above-mentioned sports guidance information, it is also helpful to improve the interactivity of the terminal device to optimize the user experience and better assist users to improve their own sports abilities.

Please refer to FIG. 9 , which is a modular schematic diagram of yet another terminal device disclosed in an embodiment of the present application. As shown in Figure 9, the terminal device may include:

Memory 901 storing executable program code;

processor 902 coupled to memory 901;

The processor 902 calls the executable program code stored in the memory 901 to execute all or part of the steps in any of the exercise guidance methods described in the above embodiments.

In addition, embodiments of the present application further disclose a computer-readable storage medium that stores a computer program for electronic data exchange, wherein the computer program enables the computer to perform any of the exercise guidance methods described in the above embodiments. all or part of the steps.

In addition, the embodiment of the present application further discloses a computer program product. When the computer program product is run on a computer, the computer can perform all or part of the steps in any of the exercise guidance methods described in the above embodiments.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium, and the storage medium includes a read-only storage medium. Memory (Read-Only Memory, ROM), Random Access Memory (RAM), Programmable Read-only Memory (PROM), Erasable Programmable Read Only Memory, EPROM), One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

The above is a detailed introduction to a sports guidance method and device, terminal equipment, and storage medium disclosed in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only for To help understand the methods and core ideas of this application; at the same time, for those of ordinary skill in the field, there will be changes in the specific implementation methods and application scope based on the ideas of this application. In summary, this specification The contents should not be construed as limitations on this application.

Claims

A motion guidance method, characterized in that it is applied to terminal equipment, and the method includes:

Obtain first motion data corresponding to the terminal device, where the first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user moves;

Target speed change data corresponding to the first motion data is determined through a motion guidance model, wherein the motion guidance model is trained based on historical motion data recorded by the terminal device, and the historical motion data includes the The historical heart rate and historical movement speed detected by the terminal device when the user is exercising;

Motion guidance information is generated based on the target speed change data, and the motion guidance information is output.
The method according to claim 1, wherein the target speed change data includes target acceleration, and determining the target speed change data corresponding to the first motion data through a motion guidance model includes:

Calculate a target heart rate change rate according to the first heart rate and a target heart rate, wherein the target heart rate includes a heart rate expected to be reached when the user exercises;

Through the exercise guidance model, the output target acceleration is determined according to the first heart rate, the first exercise speed and the target heart rate change. The target acceleration is used to guide the user to adjust the exercise speed so that the user's heart rate reaches the target. Heart rate.
The method according to claim 1, characterized in that, before determining the target speed change data corresponding to the first motion data through the motion guidance model, the method further includes:

Calculate the historical heart rate change rate and historical acceleration respectively based on the historical heart rate and historical movement speed detected by the terminal device when the user is exercising;

The historical heart rate, the historical movement speed, the historical acceleration and the historical heart rate change rate are used as sample data, and the exercise guidance model is trained through the sample data to obtain a trained exercise guidance model.
The method according to claim 1, characterized in that after generating motion guidance information according to the target speed change data and outputting the motion guidance information, the method further includes:

Obtain second motion data corresponding to the terminal device, where the second motion data at least includes a second heart rate and a second motion speed detected by the terminal device when the user exercises based on the motion guidance information;

Calculate updated heart rate change rate and updated acceleration according to the second heart rate and the second movement speed respectively;

The exercise guidance model is updated according to the second heart rate, the second movement speed, the updated heart rate change rate, and the updated acceleration.
The method according to any one of claims 1 to 4, wherein the terminal device includes a photoplethysmogram PPG module and an acceleration sensor, and obtaining the first motion data corresponding to the terminal device includes:

The first detection signal is collected through the PPG module, and the second detection signal is collected through the acceleration sensor;

According to the first detection signal and the second detection signal, obtain the corresponding first heart rate when the user is moving; and,

According to the second detection signal, the corresponding first movement speed in the case of user movement is obtained.
The method of claim 5, wherein obtaining the first heart rate corresponding to the user's movement according to the first detection signal and the second detection signal includes:

Obtain the spectrum characteristics of the second detection signal;

In the case where the spectral characteristics represent user movement, the first detection signal is subjected to noise reduction processing according to the spectrum characteristics, and the corresponding third detection signal in the case of user movement is determined based on the first detection signal after the noise reduction processing. One heart rate.
The method according to claim 5, characterized in that, according to the second detection signal, obtaining the corresponding first movement speed when the user moves includes:

Obtain the spectrum characteristics of the second detection signal;

According to the spectrum characteristics and the user's height data, the corresponding first movement speed when the user moves is determined.
The method of claim 5, wherein the terminal device further includes a positioning module, and before obtaining the first movement speed corresponding to the user's movement according to the second detection signal, the Methods also include:

Obtain positioning data through the positioning module;

Obtaining the first movement speed corresponding to the user's movement according to the second detection signal includes:

According to the second detection signal and the positioning data, the corresponding first movement speed when the user moves is obtained.
The method according to any one of claims 1 to 4, characterized in that the movement guidance information at least includes speed change guidance information, the movement guidance information is generated according to the target speed change data, and the movement guidance information is output, include:

According to the target shifting data, determine shifting guidance information corresponding to the target shifting data;

Based on the gear shifting guidance information, a corresponding guidance output signal is generated, and the terminal device is controlled to output the guidance output signal, wherein the guidance output signal includes one or more of a voice signal, a vibration signal, and a screen display signal. kind.
The method according to any one of claims 1 to 4, characterized in that after generating movement guidance information according to the target speed change data and outputting the movement guidance information, the method further includes:

Obtain the first average speed detected by the terminal device during the first exercise period, and the second average speed detected during the second exercise period, where the first exercise period is the user's current exercise period. During the process, the time period from the start of exercise until the user's heart rate reaches the target heart rate; the second exercise period is the time period from the start of exercise until the user's heart rate reaches the target heart rate during the user's last exercise process;

According to the first average speed and the second average speed, athletic ability data is calculated, and the athletic ability data is used to characterize changes in athletic ability when the user performs exercise based on the exercise guidance information.
A sports guidance device, characterized in that it is applied to terminal equipment, and the motion guidance device includes:

A data acquisition unit configured to acquire first motion data corresponding to the terminal device, where the first motion data at least includes the first heart rate and the first motion speed detected by the terminal device when the user is exercising;

A target determination unit configured to determine the target speed change data corresponding to the first motion data through a motion guidance model, wherein the motion guidance model is trained based on historical motion data recorded by the terminal device, and the Historical motion data includes historical heart rate and historical motion speed detected by the terminal device when the user is exercising;

A motion guidance unit is configured to generate motion guidance information according to the target speed change data and output the motion guidance information.
The motion guidance device according to claim 11, wherein the target speed change data includes a target acceleration, and the target determination unit is configured to determine the target speed change data corresponding to the first motion data through a motion guidance model. when, including:

Calculate a target heart rate change rate according to the first heart rate and a target heart rate, wherein the target heart rate includes a heart rate expected to be reached when the user exercises;

Through the exercise guidance model, the output target acceleration is determined according to the first heart rate, the first exercise speed and the target heart rate change. The target acceleration is used to guide the user to adjust the exercise speed so that the user's heart rate reaches the target. Heart rate.
The sports guidance device according to claim 11, characterized in that, before the target determination unit is used to determine the target speed change data corresponding to the first motion data through a sports guidance model, the target determination unit is also used to determine the target speed data corresponding to the first motion data according to the motion guidance model. The terminal device detects the historical heart rate and historical movement speed when the user is exercising, and calculates the historical heart rate change rate and historical acceleration; and,

The historical heart rate, the historical movement speed, the historical acceleration and the historical heart rate change rate are used as sample data, and the exercise guidance model is trained through the sample data to obtain a trained exercise guidance model.
The sports guidance device according to claim 11, characterized in that the data acquisition unit is further configured to obtain second sports data corresponding to the terminal device, the second motion data at least includes the user-based motion data of the terminal device. The second heart rate and second movement speed detected when exercising with the exercise guidance information;

The sports guidance device also includes:

A first calculation unit configured to calculate an updated heart rate change rate and an updated acceleration according to the second heart rate and the second movement speed respectively;

A model updating unit, configured to update the exercise guidance model according to the second heart rate, the second movement speed, the updated heart rate change rate, and the updated acceleration.
The exercise guidance device according to any one of claims 11 to 14, wherein the terminal device includes a photoplethysmogram PPG module and an acceleration sensor, and the data acquisition unit is used to acquire the data corresponding to the terminal device. The first movement data includes:

The first detection signal is collected through the PPG module, and the second detection signal is collected through the acceleration sensor;

According to the first detection signal and the second detection signal, obtain the corresponding first heart rate when the user is moving; and,

According to the second detection signal, the corresponding first movement speed in the case of user movement is obtained.
The exercise guidance device according to claim 15, wherein the data acquisition unit is configured to acquire the first heart rate corresponding to the user's movement based on the first detection signal and the second detection signal. when, including:

Obtain the spectrum characteristics of the second detection signal;

In the case where the spectral characteristics represent user movement, the first detection signal is subjected to noise reduction processing according to the spectrum characteristics, and the corresponding third detection signal in the case of user movement is determined based on the first detection signal after the noise reduction processing. One heart rate.
The exercise guidance device according to claim 15, wherein the data acquisition unit, when used to acquire the first movement speed corresponding to the user's movement according to the second detection signal, includes:

Obtain the spectrum characteristics of the second detection signal;

According to the spectrum characteristics and the user's height data, the corresponding first movement speed when the user moves is determined.
The motion guidance device according to claim 15, characterized in that the terminal device further includes a positioning module, and the motion guidance device further includes:

A positioning unit configured to obtain positioning data through the positioning module before the data acquisition unit acquires the first movement speed corresponding to the user's movement according to the second detection signal;

The data acquisition unit is also configured to acquire the corresponding first movement speed when the user moves based on the second detection signal and the positioning data.
The exercise guidance device according to any one of claims 11 to 14, wherein the exercise guidance information at least includes speed change guidance information, and the exercise guidance unit is configured to generate exercise guidance information according to the target speed change data, And when outputting the sports guidance information, it includes:

According to the target shifting data, determine shifting guidance information corresponding to the target shifting data;

Based on the gear shifting guidance information, a corresponding guidance output signal is generated, and the terminal device is controlled to output the guidance output signal, wherein the guidance output signal includes one or more of a voice signal, a vibration signal, and a screen display signal. kind.
The exercise guidance device according to any one of claims 11 to 14, wherein the data acquisition unit is further configured to acquire the first average speed detected by the terminal device during the first exercise period, and The second average speed detected during the second exercise period, wherein the first exercise period is the time period from the start of the user's exercise until the user's heart rate reaches the target heart rate during this exercise; the second exercise period It is the time period from the start of exercise until the user's heart rate reaches the target heart rate during the user's last exercise;

The sports guidance device also includes:

A second calculation unit, configured to calculate athletic ability data according to the first average speed and the second average speed, where the athletic ability data is used to characterize exercise when the user performs exercise based on the exercise guidance information. Ability changes.
A terminal device, characterized in that the terminal device includes a memory and a processor, a computer program is stored in the memory, and when the computer program is executed by the processor, the processor implements the method of claim 1 to the exercise guidance method described in any one of 10.
A computer-readable storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the exercise guidance method according to any one of claims 1 to 10 is implemented.