Advanced science.  Applied technology.


Markerless Motion Capture Using Machine Learning and Training with Biomechanical Data: 10,445,930


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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Kase J. Saylor; Daniel P. Nicolella; David R. Chambers; Travis D. Eliason; Donald R. Poole