Algorithm based Approach for Precise Sports Training Data Extraction without Intervention
Bowen Xiao, Wei Xiao
Journal of E-Technology, Vol. 16, No. 4, 2025.
DOI: https://doi.org/10.6025/jet/2025/16/4/127-133
Link: https://www.dline.info/jet/fulltext/v16n4/jetv16n4_1.pdf
Abstract:
This paper explores a Sports movement trajectory data capturing technique based on the mean shift algorithm to overcome the challenges of collecting information in complex environmental conditions and high speed movements. The method constructs a framework with 51 degrees of freedom and 16 joints to collect and analyze trajectory information during training and performs corresponding dimensionality reduction for better results. To reduce the dependency of the mean shift algorithm on environmental parameters, the probability density function in the gradient iteration estimation algorithm is chosen, and the color information of the target is used as a feature for trajectory data capturing. Experimental results demonstrate that this method effectively captures the joint activities of athletes, making Sports movement training trajectory data more accurate without any external parameter intervention.