Maximum force data acquisition method, computer device and readable storage medium
By establishing a maximum force calculation model with a linear relationship between resistance data and speed, and automatically computing the maximum force data, the problem of user susceptibility to injury when measuring maximum force in the prior art and the time-consuming test process is solved, and simple and efficient maximum force measurement is achieved.
CN116059615BActive Publication Date: 2025-03-25XIAMEN AIDI SPORTS TECH CO LTD
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Patent Information
- Application Number
- CN202310068201.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-16
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2043-01-16
AI Technical Summary
Technical Problem
In the prior art, the user is susceptible to injury when measuring maximum force and the test process takes a long time.
Method used
By obtaining the maximum force calculation model corresponding to the test action, the model contains the linear relationship between resistance data and velocity, the linear regression method is used to determine the relationship between resistance data and velocity, and then automatically calculate the maximum force data.
Benefits of technology
This method does not require the user to complete the test with maximum effort every time, avoiding injuries due to irregular movements or incorrect force exertion, and reduces the rest time between tests and significantly shortens the time to measure the maximum force.
✦ Generated by Eureka AI based on patent content.
Abstract
The present application relates to the field of data processing, and provides a method for obtaining maximum force data, a computer device, and a readable storage medium, the method comprising: obtaining a maximum force calculation model corresponding to a test action, wherein the maximum force calculation model contains an expression of a linear relationship between resistance data and speed, and the resistance data and the speed are negatively correlated; inputting a target speed corresponding to the test action into the maximum force calculation model to obtain the maximum force data corresponding to the test action, the maximum force data being used to characterize the maximum force that can be output when the user performs the test action. In this way, the maximum force data corresponding to the test action can be automatically obtained, which is simple, efficient, convenient, and scientific.
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