Quantification of human movement for assessment in automated exercise coaching

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.

• Publication year

  2014

• Venue

  Annual International Conference of the IEEE Engineering in Medicine and Biology Society

• Publication date

  2014-11-06

• Fields of study

  Biology, Physics, Computer Science, Engineering, Medicine

• Identifiers
  DOI 10.1109/EMBC.2014.6944955arXiv 1603.02713PMID 25571323PMCID PMC4339274
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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