Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments
作者： Adso Fern'ndez-Baena , Antonio Susin , Xavier Lligadas , None
关键词: Rehabilitation treatments 、 Work (physics) 、 Rehabilitation 、 Upper body 、 Computer science 、 Motion capture 、 Process (computing) 、 Joint (audio engineering) 、 Artificial intelligence 、 Motion estimation 、 Computer vision
摘要: New and powerful hardware like Kinect introduces the possibility of changing biomechanics paradigm, usually based on expensive complex equipment. is a marker less cheap technology recently introduced from videogame industry. In this work we conduct comparison study precision in computation joint angles between an optical motion capture professional system. We obtain range disparity that guaranties enough for most clinical rehabilitation treatments prescribed nowadays patients. This way, easy validation these can be obtained automatically, ensuring better quality control process patient's rehabilitation.
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