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Markerless motion capture using machine learning and training with biomechanical data
Markerless motion capture using machine learning and training with biomechanical data
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机译:使用机器学习和生物力学数据训练进行无标记运动捕捉
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摘要
A method of using a learning machine to provide a biomechanical data representation of a subject based on markerless video motion capture. The learning machine is trained with both markerless video and marker-based (or other worn body sensor) data, with the marker-based or body worn sensor data being used to generate a full biomechanical model, which is the “ground truth” data. This ground truth data is combined with the markerless video data to generate a training dataset.
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