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Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter
Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter
International Journal of Exercise Science: Conference Proceedings
Marker based motion capture is currently the most accurate method of measuring human kinematics; however, it is expensive and is often limited to lab environments making it unsuitable for many applications. Two-dimensional methods are available through open source code, but it is unclear which of these methods provides the greatest accuracy. PURPOSE: The purpose of this study is to quantify the accuracy of pose estimation from a monocular electro-optical sensor with deep learning to infer segment end points and pose estimation utilizing two open-source code approaches. METHODS: One subject ran at 6.5 m/s for 15 s while being …