年次大会
Online ISSN : 2424-2667
ISSN-L : 2424-2667
セッションID: J232-04
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骨格認識を活用した陸上競技短距離走選手の動作解析の精度検討
*鄭 宏杰小林 海
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Traditionally, optical motion capture systems have been widely utilized to accurately obtain athletes’ pose data at the laboratory settings. However, it is impossible to use such wearable motion capture in real races to analyze the performance of participating athletes. In this study, we analyzed sprinters’ form using markerless posture recognition technology, specifically OpenPose, and investigated the feasibility of applying pose estimation to sprint running.

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