Running posture detection method and equipment
A technology of running posture and detection method, applied in the direction of sports accessories, etc., can solve problems such as damage to body joints, inappropriate user exercise guidance, etc.
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Embodiment 1
[0110] see Figure 7 , is a schematic flow chart of a method for statistically analyzing sports data provided in an embodiment of the present application. This method can be implemented by figure 1 The shown wearable device or terminal device realizes, or realizes by the application server of sports health application. The following uses the application server to execute this method as an example for illustration, such as Figure 7 As shown, the process includes:
[0111] In step 701, the application server obtains historical running data and personal attribute information of a large number of users, extracts characteristic information of users from the historical running data and personal attribute information of a large number of users, and classifies users based on the characteristic information of users.
[0112] Specifically, the user's personal attribute information may include the user's gender, age, height, body shape, etc., and the user's historical running data ma...
Embodiment 2
[0131] This embodiment introduces the establishment process of the correlation model between the landing impact force of the same type of users and other running posture parameters. This method can be created by figure 1 The shown wearable device or terminal device realizes, or realizes by the application server of sports health application. The following uses the application server to execute this method as an example for illustration, see Figure 9 As shown in , it is a schematic diagram of the establishment process of the correlation model provided by the embodiment of the present application, and the process includes:
[0132] S901. The application server acquires historical exercise data of the same type of users, and determines data sets corresponding to various running posture parameters.
[0133] Exemplarily, the application server acquires users who meet the following conditions: male teenagers whose height exceeds 180cm, whose BMI is less than 24, and whose number ...
Embodiment 3
[0137] Based on the above motion data analysis results and correlation model, the terminal device or wearable device can detect and evaluate the user's running posture, see Figure 10 As shown, it is a schematic flow chart of the running posture detection method provided by the embodiment of the present application, and the method can be composed of figure 1 The wearable device or terminal device implementation shown. The following uses the terminal device to execute the method as an example for illustration, and the process includes:
[0138] Step 1001, the terminal device acquires the running activity data of the current user and the characteristic information of the current user, and the terminal device determines the reference value interval of the M-type running posture parameters corresponding to the characteristic information of the user according to the characteristic information of the user.
[0139] Among them, the characteristic information of the current user may ...
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