Fitness data processing method, device, equipment and storage medium

Abstract

The present application provides a fitness data processing method, device, device, and storage medium. In this method, the first voice information is played, and then the TOF device is used to obtain multiple data at each time point during the execution of preset fitness actions by the user. The individual body depth value, and then according to the multiple body depth values ​​at each time point, and the depth value range of each body area at the time point, determine whether the user's fitness actions meet the specifications at each time point, and finally determine the user When the fitness action of at least one target time point does not conform to the specification, the prompt information is pushed, and the prompt information is used to remind the user that the fitness action of the at least one target time point does not meet the specification and the non-standard body area. In this technical solution, the depth value of the body area under the fitness action is determined from the time sequence, which solves the technical problem of assisting the user to perform fitness with standard actions.

Description

technical field [0001] The present application relates to the field of fitness equipment, and in particular, to a method, device, device and storage medium for processing fitness data. Background technique [0002] In modern society, people pay more and more attention to maintaining their bodies, and more and more people approach the gym for physical training. There are many physical training movements in the fitness category. How to measure whether their movements are standard is a long-term problem for many people. If the movements are not standard, not only the training effect will not be achieved, but it may also lead to joint and muscle injuries. [0003] In the prior art, fitness personnel often correct and imitate actions by themselves through video data, or assist in training through the guidance of a coach. [0004] However, the standardization of self-learning is lower than that of coaching, and the cost of coaching is high, which is not suitable for large-scale p...

AI Technical Summary

Problems solved by technology

[0004] However, the standardization of self-learning is not as good as that of coaching. The cost of coaching is relatively high, and it is not suitable for large-scale promotion. Therefore, how to assist users to exercise with standard movements has become a technical problem that needs to be solved urgently.

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