Application of Gait Recognition Technology in Badminton Action Analysis
Yunwei Li, Shiwei Jiang · Journal of Physics Conference Series · 2019
Abstract In order to improve the quality of teaching, achieve better training results and achieve excellent results in athletics competitions, it is especially important to carry out the analysis of badminton routine teaching and athletic competitions. Gait recognition technology is identified by the individual’s unique biological characteristics. With the improvement of computer performance, under the background of the rapid development of big data and artificial intelligence, the video data of badminton is collected by deploying high-performance camera. Video image segmentation, preprocessing, feature extraction, get the badminton player’s three-dimensional gait characteristics data. Using the acquired gait data as a sample, a gait-based machine learning model is constructed, and the sample data is trained. Finally, identification information of badminton players is automatically identified, which facilitates the comparison and analysis of different athletes’ movement data.