Fitness data processing method and device, equipment and storage medium

Abstract

The invention provides a fitness data processing method and device, equipment and a storage medium, and the method comprises the steps: playing first voice information, obtaining a plurality of human body depth values of a user at each time point in the process of executing a preset fitness action through TOF equipment, and according to the plurality of human body depth values of each time point, obtaining a preset fitness action according to the plurality of human body depth values of each time point; and determining whether the fitness action of the user conforms to the specification at each time point according to the depth value range of each body area at the time point, and finally pushing prompt information when determining that the fitness action of the user does not conform to the specification at at least one target time point. The prompt information is used for prompting the user that the fitness action at the at least one target time point does not conform to the standard and the non-standard body area. According to the technical scheme, starting from the time sequence, the depth value of the body area under the fitness action is judged, and the technical problem of assisting the user in fitness with the standard action is solved.

Description

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

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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