AICoacher
Haocong Ying, Tie Liu, Mingxin Ai, Jiali Ding, Yuanyuan Shang · 2021
There is a growing demand for online fitness due to the impact of the epidemic. This paper presents a real-time online fitness system framework called AICoacher, which offers different online coaches. The framework constructs an extensible AI-based architecture that supports a variety of fitness movements. Firstly, key frames of motion are extracted automatically, and the feature vectors are calculated with the body pose points. Secondly, the state transition matrix can effectively identify fitness actions and capture their time-continuous characteristics. Finally, AICoacher can accurately provide the number of repetitions and correction tips of fitness movements. Currently, the AICoacher has a number of fitness courses supported by online coaches and has been tested on hundreds of fitness movements. The code can be downloaded from https://github.com/liutiel/AICoacher.