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公开(公告)号：US10445930B1
公开(公告)日：2019-10-15
申请号：US15982691
申请日：2018-05-17
Applicant: Southwest Research Institute
Inventor： Kase J. Saylor , Daniel P. Nicolella , David R. Chambers , Travis D. Eliason , Donald R. Poole
Abstract: 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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