Posture prompting method based on smart watch and related equipment

Abstract

The invention discloses a posture prompting method based on a smart watch and related equipment, and relates to the technical field of smart watches, and the posture prompting method based on the smart watch comprises the steps: receiving a motion video playing instruction issued by a user at a user side, and obtaining the real-time motion information of the user based on the motion video playing instruction; analyzing the posture of the user based on the real-time action information to obtain a posture adjustment scheme, and prompting the posture of the user based on the posture adjustment scheme. After the motion video playing instruction is obtained, the real-time motion information of the user can be obtained, the posture of the user is analyzed based on the real-time motion information, the posture adjustment scheme is obtained, the problem that only a comparison result exists, and no analysis on posture abnormity exists is avoided, then posture prompting is carried out on the user based on the posture adjustment scheme, and the user experience is improved. And the exercise efficiency of the user is improved.

Description

Technical Field

[0001] The present application relates to the technical field of smart watches, and in particular to a posture prompting method based on a smart watch and related equipment. Background Art

[0002] Smartwatches are multifunctional wearable devices that not only tell time as a traditional watch but can also connect to the user's smartphone to provide a range of additional features. They have become an invaluable tool for fitness and health tracking.

[0003] In the related art, the standard posture and the user posture during the exercise are compared, and based on the comparison result, a posture abnormality prompt is sent to the user. However, by comparing the standard posture and the user posture, there is only a comparison result, and no analysis of the posture abnormality, which reduces the efficiency of the user's exercise. Summary of the invention

[0004] The main purpose of this application is to provide a posture prompt method and related equipment based on a smart watch, aiming to solve the technical problem that by comparing the standard posture with the user posture, there is only a comparison result but no analysis of abnormal posture, which reduces the efficiency of user movement.

[0005] To achieve the above purpose, the present application proposes a posture prompting method based on a smart watch, which is applied to a smart watch, wherein the smart watch is communicatively connected to at least one user terminal, and the posture prompting method based on the smart watch includes:

[0006] Receiving a sports video playback instruction issued by a user at a user terminal, and acquiring real-time motion information of the user based on the sports video playback instruction;

[0007] Based on the real-time action information, the user's posture is analyzed to obtain a posture adjustment plan, and based on the posture adjustment plan, a posture prompt is given to the user.

[0008] In one embodiment, the step of analyzing the user's posture based on the real-time action information to obtain a posture adjustment plan, and providing posture prompts to the user based on the posture adjustment plan includes:

[0009] The real-time motion information is input into a preset posture analysis model, and feature analysis is performed on the real-time motion information of the user to obtain a posture adjustment plan, wherein the preset posture analysis model is obtained by iteratively training a preset model to be trained based on sample motion information and video motion information corresponding to the sample motion information;

[0010] Based on the posture adjustment plan, a posture prompt is provided to the user.

[0011] In one embodiment, before the step of inputting the real-time motion information into a preset posture analysis model, the step includes:

[0012] Get the initial loss function;

[0013] Adding a preset loss weight to the initial loss function to obtain a target loss function;

[0014] Based on the target loss function, determine the initial posture analysis model

[0015] Obtaining sample action information and obtaining video action information corresponding to the sample action information;

[0016] The sample action information and the video action information are input into an initial posture analysis model for iterative training to obtain a preset posture analysis model, wherein the video action information is used as a sample label for the sample action information.

[0017] In one embodiment, the step of inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment solution includes:

[0018] Inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment plan;

[0019] Acquiring physiological information of the user;

[0020] Based on the physiological information, the posture angle of the posture adjustment plan is adjusted to obtain an adjusted posture adjustment plan.

[0021] In one embodiment, after the step of providing a posture prompt to the user based on the posture adjustment scheme, the following steps are included:

[0022] Determining the motion data of the user based on the real-time motion information;

[0023] Determining a user's fatigue level based on the motion data;

[0024] Based on the fatigue level of the user, a recovery plan for the user after exercise is determined, so that the user can recover based on the recovery plan.

[0025] In one embodiment, the step of providing posture prompts to the user based on the posture adjustment scheme further includes:

[0026] detecting the heart rate of the user during exercise, and if the heart rate during exercise is not within a preset target heart rate interval, adjusting the posture angle of the posture adjustment scheme based on the heart rate during exercise to obtain an adjusted posture adjustment scheme;

[0027] Based on the adjusted posture adjustment plan, posture prompts are given to the user.

[0028] In addition, to achieve the above purpose, the present application also proposes a posture prompting device based on a smart watch, and the posture prompting device based on a smart watch includes:

[0029] A receiving module, used to receive a sports video playback instruction issued by a user at a user end, and obtain the user's real-time action information based on the sports video playback instruction;

[0030] The analysis module is used to analyze the user's posture based on the real-time action information, obtain a posture adjustment plan, and provide posture prompts to the user based on the posture adjustment plan.

[0031] In addition, to achieve the above-mentioned purpose, the present application also proposes a posture prompt device based on a smart watch, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the posture prompt method based on a smart watch as described above.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by the processor, the posture prompt based on the smart watch as described above is realized.

[0033] Steps of the method.

[0034] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the posture prompt method based on a smart watch as described above.

[0035] By comparing the standard posture and the user posture during the exercise, and based on the comparison results, a posture abnormality prompt is sent to the user. However, by comparing the standard posture and the user posture, there is only a comparison result, and no analysis of the posture abnormality, which reduces the efficiency of the user's exercise.

[0036] One or more technical solutions proposed in this application have at least the following technical effects:

[0037] Compared with the related art, which only compares the standard posture with the user posture, but does not analyze the abnormal posture, thus reducing the efficiency of the user's movement, the present application receives the motion video playback instruction issued by the user at the user end, and obtains the user's real-time action information based on the motion video playback instruction; analyzes the user's posture based on the real-time action information to obtain a posture adjustment plan, and gives the user a posture prompt based on the posture adjustment plan. It can be understood that after obtaining the motion video playback instruction, the present application can obtain the user's real-time action information, and analyze the user's posture based on the real-time action information to obtain a posture adjustment plan, thus avoiding the problem of only comparing the results but not analyzing the abnormal posture, and then gives the user a posture prompt based on the posture adjustment plan, thus improving the efficiency of the user's movement. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 A flowchart of a first embodiment of a posture prompting method based on a smart watch provided in the present application;

[0041] Figure 2 A flowchart of the second embodiment of the posture prompt method based on a smart watch provided in this application;

[0042] Figure 3 This is a schematic diagram of the module structure of a posture prompting device based on a smart watch according to an embodiment of the present application;

[0043] Figure 4 This is a schematic diagram of the device structure of the hardware operating environment involved in the posture prompt method based on a smart watch in an embodiment of the present application.

[0044] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0046] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0047] The main solution of the embodiment of the present application is: receiving a motion video playback instruction issued by the user at the user end, and obtaining the user's real-time action information based on the motion video playback instruction; based on the real-time action information, analyzing the user's posture to obtain a posture adjustment plan, and based on the posture adjustment plan, providing posture prompts to the user.

[0048] In the related art, it is necessary to manually compare the contents of the file after conversion with the contents of the file before conversion, and test the file conversion system through the comparison results. However, manual file content comparison requires manual comparison of the file contents, which reduces the efficiency of the file conversion system testing.

[0049] After receiving the sports video playback instruction, the present application can obtain the user's real-time motion information, and analyze the user's posture based on the real-time motion information to obtain a posture adjustment plan, thereby avoiding the problem of only comparing the results but not analyzing the abnormal posture. Then, based on the posture adjustment plan, the user is given posture prompts, thereby improving the user's exercise efficiency.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, etc. The following takes the posture prompt device as an example to illustrate this embodiment and the following embodiments.

[0051] Based on this, the embodiment of the present application provides a posture prompt method based on a smart watch, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the posture prompt method based on a smart watch of the present application.

[0052] In this embodiment, the posture prompting method based on the smart watch includes steps S100 to S200:

[0053] Step S100, receiving a sports video playback instruction issued by a user at a user terminal, and acquiring the user's real-time motion information based on the sports video playback instruction;

[0054] It should be noted that the execution subject of this embodiment is a posture prompting device. The posture prompting device is provided with a cloud platform, a user terminal and a smart watch. The smart watch is respectively connected to the user terminal and the cloud platform in communication. The smart watch is provided with multiple sensors, such as an accelerometer, a gyroscope, a heart rate monitor, etc. The real-time motion information is the user's motion information, including that the user can select a pre-stored motion video on the user terminal. After selecting the motion video, the user can click the play button of the motion video. After clicking, the motion video play instruction is sent to the smart watch. After the smart watch receives the instruction to start playing the motion video, it activates all relevant sensors to start collecting data. When the user follows the video to do exercise, the sensors of the smart watch (such as accelerometers and gyroscopes) will continue to record the user's motion data. Due to the limited computing resources in the smart watch, after obtaining the real-time motion information, the smart watch will upload the information to the cloud platform for data calculation. The specific functions of the sensors are as follows:

[0055] Accelerometer:

[0056] An accelerometer is mainly used to measure the linear acceleration of an object in three-dimensional space. It can detect changes in acceleration on three axes (X, Y, Z), including acceleration due to gravity and acceleration caused by any external force. In fitness tracking applications, accelerometers can help determine the user's activity level, such as walking, running speed and number of steps.

[0057] Motion detection: Detecting transitions between static and dynamic, such as from stillness to movement;

[0058] Step counting: Estimate the number of steps taken while walking or running by detecting periodic changes in acceleration;

[0059] Posture recognition: The posture of the device (such as vertical, horizontal) can be estimated by combining the gravity component;

[0060] Fall detection: Sudden high acceleration changes can be used to detect fall events.

[0061] Gyroscope:

[0062] Gyroscopes are used to measure angular velocity around three axes, which can accurately measure how fast a device is spinning.

[0063] Rotation tracking: Accurately measure rotation speed to help track changes in device orientation;

[0064] Attitude stabilization: used in conjunction with the accelerometer to more accurately estimate the attitude of the device;

[0065] Gesture recognition: Recognize gestures by identifying specific rotation patterns;

[0066] Game Control: Use as a controller in games by tilting and turning the device.

[0067] Magnetometer:

[0068] Magnetometers are used to measure the strength and direction of magnetic fields. In smart watches and other wearable devices, magnetometers are mainly used to determine the direction of the device relative to the earth's magnetic field, thereby helping to identify the orientation and posture of the device. Magnetometers are used in conjunction with accelerometers and gyroscopes to provide more accurate positioning and posture information. The magnetometer obtains the magnetic field strength data of the device on three axes (X, Y, Z), denoises and smoothes the magnetometer data to reduce the impact of external interference, and uses sensor fusion algorithms (such as complementary filters or Kalman filters) to combine the data of accelerometers, gyroscopes, and magnetometers to improve the accuracy of posture estimation. Through the fusion algorithm, the Euler angles (pitch, yaw, roll) or quaternions of the device are calculated to determine the posture of the device.

[0069] Direction Identification: Magnetometers can measure the strength and direction of the Earth's magnetic field to help determine the orientation of the device. This is particularly useful for navigation applications because the magnetometer can provide a reference direction even when there is no GPS signal;

[0070] Attitude estimation: Combined with the accelerometer and gyroscope, the magnetometer can help estimate the attitude of the device more accurately. By fusing the data of the three sensors, the respective errors can be eliminated and the accuracy of attitude estimation can be improved.

[0071] Motion recognition: Magnetometers can help recognize certain specific movements or gestures. For example, by detecting changes in the magnetic field, it can identify if the device is rotating or changing orientation.

[0072] Step S200: analyzing the user's posture based on the real-time action information to obtain a posture adjustment plan, and providing posture prompts to the user based on the posture adjustment plan.

[0073] It is understandable that the posture adjustment plan is a plan for guiding the user's movement. The posture prompt device compares the user's actual posture with the standard posture shown in the video, and generates a personalized guidance adjustment plan for the user's movement according to the comparison result. After obtaining the posture adjustment plan, the smart watch provides real-time feedback to the user to guide the user on how to adjust the posture.

[0074] In a feasible implementation manner, the step of analyzing the user's posture based on the real-time action information to obtain a posture adjustment solution includes the following steps:

[0075] The real-time motion information is input into a preset posture analysis model, and feature analysis is performed on the real-time motion information of the user to obtain a posture adjustment plan, wherein the preset posture analysis model is obtained by iteratively training a preset model to be trained based on sample motion information and video motion information corresponding to the sample motion information;

[0076] It should be noted that the preset posture analysis model is a model for predicting posture adjustment solutions for user posture when the user posture is incorrect. The posture prompt device inputs the user's real-time action information collected by the smart watch into the preset posture analysis model, performs necessary preprocessing on the real-time collected data, and extracts features from the preprocessed information. The extracted features are input into the trained posture analysis model, and the model outputs the user's current posture state. The model determines whether the user's posture is correct based on the input features. If the user's posture is detected to be incorrect, specific adjustment suggestions are generated based on the difference between the known correct posture and the user's current posture.

[0077] In particular, if the preset posture analysis model does not detect that the user's posture is incorrect, no posture adjustment solution is generated.

[0078] Based on the posture adjustment plan, a posture prompt is provided to the user.

[0079] It is understandable that after obtaining the posture adjustment solution output by the preset posture analysis model, the posture prompting device provides posture adjustment prompts to the user.

[0080] In a feasible implementation manner, before the step of inputting the real-time motion information into a preset posture analysis model, the following steps are included:

[0081] Get the initial loss function;

[0082] It should be noted that the loss function is a method to measure the gap between the model prediction results and the real data. The posture prompt device obtains the initial loss function commonly used in the posture estimation task.

[0083] Adding a preset loss weight to the initial loss function to obtain a target loss function;

[0084] It is understandable that the posture prompt device adds a preset loss weight to the initial loss function to obtain the target loss function, so that the model used in the posture estimation task pays more attention to the user's movement angle to more accurately identify the user's movement posture.

[0085] Based on the target loss function, determining an initial posture analysis model;

[0086] It should be noted that the posture prompt device determines the initial posture analysis model to be trained based on the target loss function after adding weights.

[0087] Obtaining sample action information and obtaining video action information corresponding to the sample action information;

[0088] It is understandable that the sample action information includes a variety of different types of movements and possible incorrect postures. The video action information is the correct video action. The posture prompt device uses a smart watch to collect a large amount of sample action information and its corresponding correct video action information. These sample data should cover a variety of different types of movements and possible incorrect postures. Among them, the user end and the smart watch interact with each other in real time. When the user wears the smart watch and performs a video action, the smart watch will obtain the video action information corresponding to the action on the user end.

[0089] The sample action information and the video action information are input into an initial posture analysis model for iterative training to obtain a preset posture analysis model, wherein the video action information is used as a sample label for the sample action information.

[0090] It should be noted that the sample labels are labels for adjusting the parameters of the initial posture analysis model, and they correspond one-to-one to the sample action information. The posture prompt device cleans the sample action information to ensure the quality of the data, removes noise and outliers, and normalizes the cleaned data so that the data from different sensors are on the same scale. The sample action information and the corresponding labels are input into the model for training, and the model parameters are adjusted using the back propagation algorithm to minimize the loss function. The optimal hyperparameter combination is selected through cross-validation, and then a preset posture analysis model is obtained, which can predict the user's posture based on the input sensor data and give corresponding adjustment suggestions.

[0091] In a feasible implementation manner, the step of inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment solution comprises the following steps:

[0092] Inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment plan;

[0093] Inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment plan;

[0094] It should be noted that the posture prompting device inputs the real-time motion information into a preset posture analysis model, performs feature analysis on the user's real-time motion information, and obtains a posture adjustment plan.

[0095] Acquiring physiological information of the user;

[0096] It is understandable that the physiological information includes information such as height, weight, range of motion of joints, muscle strength, etc. The posture prompt device obtains the physiological information uploaded by the user, wherein the physiological information includes information such as height, weight, range of motion of joints, muscle strength, etc.

[0097] Based on the physiological information, adjusting the posture angle of the posture adjustment scheme to obtain an adjusted posture adjustment scheme;

[0098] It should be noted that, due to the specific physical limitations or advantages of the user, the posture adjustment plan may not be suitable for everyone, so the posture adjustment plan needs to be adjusted according to the user's physiological information. After the posture prompt device obtains the user's physiological information, it adjusts the posture angle of the posture adjustment plan output by the preset posture analysis model to obtain an adjusted posture adjustment plan.

[0099] Based on the adjusted posture adjustment plan, posture prompts are given to the user.

[0100] It is understandable that posture prompts include voice prompts, vibration prompts, and guidance animations displayed on a graphical interface, etc. The posture prompt device provides feedback to the user in real time on the adjusted posture adjustment plan, and tells the user how to adjust the user's own posture to get closer to the ideal state through voice prompts.

[0101] In this embodiment, after obtaining the exercise video playback instruction, the posture prompt device obtains real-time action information, generates an adjustment plan for the user's unqualified posture through a preset posture analysis model, and adjusts the generated adjustment plan through the user's physiological information, helping the user to better adjust the user's own posture to be closer to the ideal state, thereby improving the user's exercise efficiency.

[0102] The present application embodiment provides a posture prompt method based on a smart watch, referring to Figure 2 , Figure 2 This is a flow chart of the second embodiment of the posture prompt method based on a smart watch of the present application.

[0103] In a feasible implementation manner, based on the posture adjustment scheme, the step of providing posture prompts to the user includes steps A10 to A30:

[0104] Step A10: determining the user's motion data based on the real-time motion information;

[0105] It should be noted that exercise data includes information such as exercise intensity, duration, and calorie consumption. The posture prompt device collects the user's real-time motion data through sensors. This data may include information such as acceleration, angular velocity, heart rate, and breathing rate. Then, this data is used to calculate specific exercise indicators, such as exercise intensity, duration, and calorie consumption.

[0106] Step A20: Determine the user's fatigue level based on the exercise data;

[0107] It is understandable that the posture prompt device evaluates the user's fatigue level based on the user's motion data and physiological reactions, among which the heart rate increase and recovery speed are important indicators for evaluating fatigue.

[0108] Step A30: Based on the fatigue level of the user, determine a recovery plan for the user after exercise, so that the user can recover based on the recovery plan.

[0109] It should be noted that the recovery plan includes information such as rest time, nutritional supplement recommendations and stretching exercises. After the posture prompt device determines the user's fatigue level, it can develop a personalized recovery plan, give the corresponding rest time and method according to the user's fatigue level, and give nutritional supplement recommendations, such as recommending appropriate foods or supplements to supplement electrolytes, protein or other nutrients.

[0110] In particular, the posture prompt device can also generate a recovery plan through a preset fatigue model. Specifically, the real-time motion information is input into the preset fatigue model, and the real-time motion information is feature extracted to extract the features that best reflect the degree of fatigue, such as heart rate changes, exercise intensity and duration, etc. The features reflecting the degree of fatigue are used to predict the user's current degree of fatigue. If the user continues to exercise, the model can continuously receive new data and re-evaluate the fatigue state. After obtaining the current degree of fatigue, the preset fatigue model will predict the recovery plan corresponding to the fatigue features. The training process of the preset fatigue model is as follows:

[0111] The posture prompt device uses previously collected historical data as a training set, which contains known fatigue levels and corresponding motion data, and inputs the training set into an untrained convolutional neural network (CNN) for training. It also adjusts the model's hyperparameters and evaluates the model performance to obtain a preset fatigue model.

[0112] In a feasible implementation manner, based on the posture adjustment scheme, the step of providing posture prompts to the user further includes the following steps:

[0113] detecting the heart rate of the user during exercise, and if the heart rate during exercise is not within a preset target heart rate interval, adjusting the posture angle of the posture adjustment scheme based on the heart rate during exercise to obtain an adjusted posture adjustment scheme;

[0114] It is understandable that the preset target heart rate interval is usually 60%-80% of the maximum heart rate. The posture prompt device monitors the user's heart rate during exercise in real time through sensors, and sets a target heart rate interval based on factors such as the user's age, health status and exercise purpose. For example, for aerobic exercise, the target heart rate interval is usually 60%-80% of the maximum heart rate, where the maximum heart rate is usually estimated using the formula 220-age, and a suitable target heart rate interval is set according to the user's exercise purpose (such as weight loss, muscle gain, etc.). After obtaining the user's real-time heart rate, it is determined whether the user's heart rate is within the preset target heart rate interval. If the user's heart rate exceeds the target heart rate interval, the posture needs to be adjusted to help the user return to the target heart rate interval.

[0115] Specifically, if the heart rate is too high, you can adjust your posture to lower it, for example, by reducing the intensity of the movement or adjusting your breathing method, and if the heart rate is too low, you can adjust your posture to increase it, for example, by increasing the intensity of the movement or speeding up the movement frequency.

[0116] Based on the adjusted posture adjustment plan, posture prompts are given to the user.

[0117] It should be noted that the posture prompting device provides real-time posture prompting to the user according to the adjusted posture adjustment plan.

[0118] In this embodiment, the posture prompting device readjusts the posture adjustment plan according to the user's physiological information, fatigue level and heart rate, thereby improving the user's exercise efficiency.

[0119] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the posture prompt method based on a smart watch of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0120] This application also provides a posture prompt device based on a smart watch, please refer to Figure 3 , the posture prompting device based on the smart watch comprises:

[0121] The receiving module 10 is used to receive a sports video playback instruction issued by a user at a user end, and obtain the user's real-time action information based on the sports video playback instruction;

[0122] The analysis module 20 is used to analyze the user's posture based on the real-time action information, obtain a posture adjustment plan, and provide posture prompts to the user based on the posture adjustment plan.

[0123] Optionally, the analysis module includes:

[0124] A model module is used to input the real-time action information into a preset posture analysis model, perform feature analysis on the user's real-time action information, and obtain a posture adjustment plan, wherein the preset posture analysis model is obtained by iteratively training a preset model to be trained based on sample action information and video action information corresponding to the sample action information.

[0125] The adjustment module is used to obtain the physiological information of the user; based on the physiological information, adjust the posture angle of the posture adjustment scheme to obtain an adjusted posture adjustment scheme; based on the adjusted posture adjustment scheme, provide posture prompts to the user.

[0126] A recovery module is used to determine the user's motion data based on the real-time motion information; determine the user's fatigue level based on the motion data; and determine a recovery plan for the user after exercise based on the user's fatigue level, so that the user can recover based on the recovery plan.

[0127] A heart rate module is used to detect the heart rate of the user during exercise. If the heart rate during exercise is not in a preset target heart rate range, the posture angle of the posture adjustment plan is adjusted based on the heart rate during exercise to obtain an adjusted posture adjustment plan; based on the adjusted posture adjustment plan, posture prompts are given to the user.

[0128] Optionally, the model module includes:

[0129] A training module is used to obtain sample action information and video action information corresponding to the sample action information; the sample action information and the video action information are input into a preset model to be trained for iterative training to obtain a preset posture analysis model, wherein the video action information is used as a sample label for the sample action information.

[0130] The posture prompting device based on a smart watch provided by the present application adopts the posture prompting method based on a smart watch in the above-mentioned embodiment, and can solve the technical problem of posture prompting based on a smart watch. Compared with the prior art, the beneficial effects of the posture prompting device based on a smart watch provided by the present application are the same as the beneficial effects of the posture prompting method based on a smart watch provided by the above-mentioned embodiment, and the other technical features of the posture prompting device based on a smart watch are the same as the features disclosed in the above-mentioned embodiment method, which will not be described in detail here.

[0131] The present application provides a posture prompt device based on a smart watch, and the posture prompt device based on a smart watch includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the posture prompt method based on the smart watch in the above-mentioned embodiment one.

[0132] Reference below Figure 4 , which shows a schematic diagram of the structure of a posture prompting device based on a smart watch suitable for implementing the embodiment of the present application. The posture prompting device based on a smart watch in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, tablet computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The smart watch-based gesture prompt device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0133] like Figure 4As shown, the posture prompt device based on the smart watch may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the posture prompt device based on the smart watch are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the smart watch-based gesture prompt device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a smart watch-based gesture prompt device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0134] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0135] The posture prompting device based on a smart watch provided by the present application adopts the posture prompting method based on a smart watch in the above-mentioned embodiment, and can solve the technical problem of posture prompting based on a smart watch. Compared with the prior art, the beneficial effects of the posture prompting device based on a smart watch provided by the present application are the same as the beneficial effects of the posture prompting method based on a smart watch provided by the above-mentioned embodiment, and the other technical features in the posture prompting device based on a smart watch are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0136] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0137] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0138] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the posture prompt method based on a smart watch in the above-mentioned embodiment.

[0139] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0140] The computer-readable storage medium may be included in the posture prompt device based on a smart watch; or may exist independently without being assembled into the posture prompt device based on a smart watch.

[0141] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the posture prompt device based on the smart watch, the posture prompt device based on the smart watch: receives a sports video playback instruction issued by the user at the user end, and obtains the user's real-time action information based on the sports video playback instruction; analyzes the user's posture based on the real-time action information to obtain a posture adjustment plan, and provides posture prompts to the user based on the posture adjustment plan.

[0142] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0143] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0144] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0145] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned posture prompting method based on a smart watch, and can solve the technical problem of posture prompting based on a smart watch. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the posture prompting method based on a smart watch provided by the above-mentioned embodiment, and will not be repeated here.

[0146] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned smart watch-based gesture prompt method.

[0147] The computer program product provided in this application can solve the technical problem of posture prompting based on smart watches. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the posture prompting method based on smart watches provided in the above embodiments, which will not be repeated here.

[0148] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A posture prompting method based on a smart watch, applied to a smart watch, wherein the smart watch is communicatively connected to at least one user terminal, characterized in that: The posture prompting method based on the smart watch includes: Receiving a sports video playback instruction issued by a user at a user terminal, and acquiring real-time motion information of the user based on the sports video playback instruction; Based on the real-time action information, the user's posture is analyzed to obtain a posture adjustment plan, and based on the posture adjustment plan, a posture prompt is given to the user.

2. The posture prompting method based on a smart watch as claimed in claim 1, characterized in that: The step of analyzing the user's posture based on the real-time action information to obtain a posture adjustment plan, and providing posture prompts to the user based on the posture adjustment plan includes: The real-time action information is input into a preset posture analysis model, and feature analysis is performed on the user's real-time action information to obtain a posture adjustment plan, wherein the preset posture analysis model is obtained by iteratively training a preset model to be trained based on sample action information and video action information corresponding to the sample action information.

3. The posture prompting method based on a smart watch as claimed in claim 2, characterized in that: The step of inputting the real-time motion information into a preset posture analysis model includes: Get the initial loss function; Adding a preset loss weight to the initial loss function to obtain a target loss function; Based on the target loss function, determining an initial posture analysis model; Obtaining sample action information and obtaining video action information corresponding to the sample action information; The sample action information and the video action information are input into an initial posture analysis model for iterative training to obtain a preset posture analysis model, wherein the video action information is used as a sample label for the sample action information.

4. The posture prompting method based on a smart watch as claimed in claim 2, characterized in that: The step of inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment plan comprises: Inputting the real-time motion information into a preset posture analysis model, performing feature analysis on the real-time motion information of the user, and obtaining a posture adjustment plan; Acquiring physiological information of the user; Based on the physiological information, the posture angle of the posture adjustment plan is adjusted to obtain an adjusted posture adjustment plan.

5. The posture prompting method based on a smart watch as claimed in claim 1, characterized in that: The step of providing posture prompts to the user based on the posture adjustment scheme includes: Determining the motion data of the user based on the real-time motion information; Determining a user's fatigue level based on the motion data; Based on the fatigue level of the user, a recovery plan for the user after exercise is determined, so that the user can recover based on the recovery plan.

6. The posture prompting method based on a smart watch as claimed in claim 1, characterized in that: The step of providing posture prompts to the user based on the posture adjustment scheme further includes: detecting the heart rate of the user during exercise, and if the heart rate during exercise is not within a preset target heart rate interval, adjusting the posture angle of the posture adjustment scheme based on the heart rate during exercise to obtain an adjusted posture adjustment scheme; Based on the adjusted posture adjustment plan, posture prompts are given to the user.

7. A posture prompting device based on a smart watch, characterized in that: The device comprises: A receiving module, used to receive a sports video playback instruction issued by a user at a user end, and obtain the user's real-time action information based on the sports video playback instruction; The analysis module is used to analyze the user's posture based on the real-time action information, obtain a posture adjustment plan, and provide posture prompts to the user based on the posture adjustment plan.

8. A posture prompting device based on a smart watch, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the smart watch-based gesture prompt method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the posture prompt method based on a smart watch are implemented as described in any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the smart watch-based gesture prompting method according to any one of claims 1 to 6 are implemented.

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