Capturing Joint Angles of the Off-Site Human Body

Raman Garimella, Thomas Peeters, Koen Beyers, Steven Truijen, Toon Huysmans, Stijn Verwulgen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)


Motion capture (mocap) is traditionally conducted by optical systems. These are expensive and usually limited to controlled environments. We investigated the accuracy of portable and inexpensive mocap sensor systems compared to benchmark optical systems with respect to tracking joint angles. This review summarizes the findings of 21 studies. In these studies, 228 subjects were employed, and 16 joints were tracked, spanning a range of activities. We did not find a system that is consistent and equally accurate across all joint angles for all activities (root mean square error up to 12.1 degrees). However, under some ideal conditions, the results are on par with optical mocap. Our recommendations for future research and development are to focus on tracking faster activities, activities in off-site conditions, and following standardized biomechanical models of joint angles.
Original languageEnglish
Title of host publicationIEEE Sensors 2018
Place of PublicationPiscataway, NJ
Number of pages4
ISBN (Electronic)978-1-5386-4707-3
ISBN (Print)978-1-5386-4708-0
Publication statusPublished - 2018
EventIEEE Sensors 2018: 17th IEEE Sensors Conference - Pullman Aerocity, New Delhi, India
Duration: 28 Oct 201831 Oct 2018
Conference number: 17


ConferenceIEEE Sensors 2018
CityNew Delhi


  • joint kinematics
  • wearable
  • off-site
  • motion capture
  • IMU

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