Key Body Posture Characteristics of Short-distance Speed Skaters at the Start Based on Artificial Intelligence
Zhang Xueliana, Fang Yingjieb, Liu Hang

TL;DR
This study uses AI-based video analysis to identify key biomechanical factors influencing the starting performance of male short-distance speed skaters, highlighting posture and stride characteristics that affect speed and effectiveness.
Contribution
It introduces an AI-driven biomechanical analysis method to determine critical body posture features impacting speed skating starts, providing new insights into optimal starting techniques.
Findings
Post-stability angle, knee angles, and stride length positively correlate with starting speed.
Trunk angle negatively correlates with starting speed and effectiveness.
Smaller ice-contact and propulsion angles, larger trunk and hip angles improve starting performance.
Abstract
Objective To conduct biomechanical analysis on the starting technique of male short-distance speed skating athletes in China and determine the key factors affecting the effectiveness of the starting movement. Methods 13 high-level male short-distance speed skating athletes were selected as the test subjects, and kinematic data were collected using an artificial intelligence video capture and analysis system. The body posture features and their effects on the starting movement performance were analyzed in the three stages of starting preparation, starting, and sprinting. Results The post-stability angle, anterior knee angle of the front leg, posterior knee angle of the rear leg, and stride length showed moderate to high positive correlations with the starting speed during the starting preparation stage. The trunk angle showed a high negative correlation with the starting speed. The trunk…
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Taxonomy
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
