Intelligent sports training model construction method and device, and training method and device

Abstract

The invention discloses a method and a device for constructing an intelligent sports training model, a training method and a device. The somatotype recognition model is obtained by training the annotated somatotype data through in-depth learning. Obtaining the annotated normalized posture movement data; The standard posture recognition model is obtained by training the labeled standard posture data in depth learning. Acquiring annotated limb movement data; Through in-depth learning and training of the annotated limb movement data, the limb movement recognition model and the corresponding limbmovement correction model are obtained. The invention can be trained to obtain various models so as to be called before and during the user sports training. A preliminary exercise training plan can begiven according to the user's body shape before the user's exercise training, and in the process of the user's exercise training, the specific parts with inconsistent movements can be located throughthe human body gesture recognition, and the user is prompted to make corrections precisely.

Description

technical field [0001] The invention relates to an intelligent sports training model construction method and device, a training method and a device, and belongs to the technical field of artificial intelligence image recognition. Background technique [0002] In the process of sports training, the standardization of movements is very important. Non-standard movements not only fail to achieve the effect of sports training, but also may cause sports injuries. However, it is too expensive to ask professional coaches to guide; traditional wearable devices Deploying contact devices on users is not only cumbersome, but also requires the active cooperation of users. There are certain restrictions, and more importantly, the problem of cost cannot be solved. [0003] At present, although the method based on human motion recognition can solve the above problems to a certain extent, there are other problems: 1. There is no corresponding exercise training plan for different body types. ...

AI Technical Summary

Problems solved by technology

[0002] In the process of sports training, the standardization of movements is very important. Non-standard movements not only fail to achieve the effect of sports training, but also may cause sports injuries. However, it is too expensive to ask professional coaches to guide; traditional wearable devices Deploying contact devices on users is not only cumbersome, but also requires the active cooperation of users. There are certain limitations, and more importantly, the problem of cost cannot be solved.

[0003] At present, although the method based on human motion recognition can solve the above problems to a certain extent, there are other problems: 1. There is no corresponding exercise training plan for different body types

2. Judging whether the action is standardized through action recognition. This method only makes a judgment and gives an overall correction plan. It cannot accurately locate various parts of the body, and does not specifically identify which part of the human body has irregular movements, so as to give a correction plan.

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