Wearable motion capture unit for shoulder injury prevention

Samir A. Rawashdeh, Derek A. Rafeldt, Timothy L. Uhl, James E. Lumpp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Body-worn devices have significant potential to improve the health and well-being of many individuals. In this work, wearable inertial sensors are used in order to track and discriminate shoulder motion gestures, without using visual markers or other approaches that constrain the system to a laboratory environment. The device, consisting of a set of orthogonal accelerometers, gyroscopes, and magnetic field sensors, is attached to the person;s upper arm to help prevent shoulder over-use injuries in strenuous work and in athletics. The sensor suite is used to track the orientation of the arm as a function of time. We present a detection and classification approach that can be used to evaluate the number of times certain motion gestures occur.

Original languageEnglish
Title of host publication2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
ISBN (Electronic)9781467372015
DOIs
StatePublished - Oct 15 2015
Event12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 - Cambridge, United States
Duration: Jun 9 2015Jun 12 2015

Publication series

Name2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015

Conference

Conference12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015
Country/TerritoryUnited States
CityCambridge
Period6/9/156/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Health Informatics
  • Instrumentation
  • Signal Processing

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