Journal of Ambient Intelligence and Humanized Computing | 2021

Application of wearable inertial sensor in optimization of basketball player’s human motion tracking method

 
 

Abstract


Basketball refers to a collective sport in which players put basketballs into the opponent’s net to score points under certain rules, and defend the opponent players so that they cannot get points. Basketball is a sport with the most competition rules, team tactics and sports skills in all ball sports, and is greatly affected by the players’ individual basketball skills. It also requires effective coordination and cooperation between the players. In a basketball game, the basketball skills of the main players have a greater impact on the entire team. If the basketball skills of the main players are average, it will reduce the overall strength of the team, which will increase the overall offensive and defensive capabilities of the team. Attenuation is not conducive to team performance, so it is more important to conduct scientific and reasonable individual basketball skills training for athletes. As far as basketball is concerned, the training plan for the players is mainly determined by the coaches based on personal observation and past experience. This method inevitably makes mistakes. This research is based on the recognition of the human torso movement posture, and the body torso posture of the basketball players is recognized and studied. The athlete’s torso sensor is installed to monitor the athlete’s physical state in real time, and the relevant basketball movement is divided. And the body posture detection and recognition method of athletes in basketball games. Real-time detection of human trunk motion status has always been the focus of research in the field of sports. However, domestic research on trunk posture detection of athletes is still rare. This research will add monitoring and analysis of various basketball sports complex movements in the follow-up.

Volume None
Pages 1-15
DOI 10.1007/S12652-021-03110-2
Language English
Journal Journal of Ambient Intelligence and Humanized Computing

Full Text