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Quantification of human movement for assessment in automated exercise coaching

Stuart Hagler, Holly Jimison, Růžena Bajcsy, Misha Pavel

发表年份
2014
引用次数
11

摘要

Quantification of human movement is a challenge in many areas, ranging from physical therapy to robotics. We quantify of human movement for the purpose of providing automated exercise coaching in the home. We developed a model-based assessment and inference process that combines biomechanical constraints with movement assessment based on the Microsoft Kinect camera. To illustrate the approach, we quantify the performance of a simple squatting exercise using two model-based metrics that are related to strength and endurance, and provide an estimate of the strength and energy-expenditure of each exercise session. We look at data for 5 subjects, and show that for some subjects the metrics indicate a trend consistent with improved exercise performance.

关键词

Computer scienceCoachingArtificial intelligenceSession (web analytics)Movement (music)Machine learningSquatting positionRoboticsProcess (computing)Physical medicine and rehabilitation

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