Research on Fitness Action Evaluation System Based on Skeleton

In recent years, with the promotion of the concept of sports to gain health, the cause of national fitness has stepped into the fast lane of development. However, for ordinary fitness people, due to the lack of corresponding supervision and evaluation feedback, resulting in long-term inaccurate or even wrong fitness process. Therefore, this paper designs and implements a skeleton based fitness action evaluation system. Firstly, open pose algorithm is applied to extract the skeleton nodes of each frame in the video, and then the extracted data is prepossessed by key node alignment, skeleton node balancing and other technologies. Then the skeleton nodes are used to evaluate the action duration, speed and scale. Finally, the evaluation model is established, The skeleton node is used to calculate the duration, speed and standard degree of the action, and the standard degree of the action is divided into three grades: excellent and poor, so as to guide the standardization of the trainer's action.