title: Quantification of human movement for assessment in automated exercise coaching.
abstract: 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.
authors.forename: Stuart
authors.initials: S
authors.lastname: Hagler
authors.forename: Holly B
authors.initials: HB
authors.lastname: Jimison
authors.forename: Ruzena
authors.initials: R
authors.lastname: Bajcsy
authors.forename: Misha
authors.initials: M
authors.lastname: Pavel
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015444:Exercise; D005081:Exercise Therapy; D006801:Humans; D009043:Motor Activity; D011187:Posture; D013647:Task Performance and Analysis