Rethinking the Technique of Race Walking Based on Association Rule Mining
Conference: HBDSS 2022 - 2nd International Conference on Health Big Data and Smart Sports
10/28/2022 - 10/30/2022 at Xiamen, China
Proceedings: HBDSS 2022
Pages: 5Language: englishTyp: PDF
Authors:
Wang, Yibing; Wang, Xiaobing (Sports and Medical Integration Innovation Center, Capital University of Physical Education and Sports, Beijing, China)
Pang, Yiqun (Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China)
Li, Houlin (Track and Field Teaching and Research Office, Capital University of Physical Education and Sports, Beijing, China)
Abstract:
To explore the relationship between the technical indicators of elite walkers, so as to make the technical training of elite walkers more scientific. Association rule mining technology is used to analyze the technical data of elite athletes, and three categories of rules are found. Some rules are analyzed to obtain some valuable information and knowledge. It is concluded that the application of association rule mining technology in the field of race walking technology has certain feasibility and effectiveness. And it can provide scientific training basis for the analysis of technical data and the sports training of walking technology.