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Classifications of Intentions for Controlling of a Multifunctional Knee-Ankle-Foot Orthosis

[+] Author Affiliations
Sai-Kit Wu, Tad Driver, Xiangrong Shen

The University of Alabama, Tuscaloosa, AL

Paper No. DSCC2011-5924, pp. 495-501; 7 pages
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control
  • ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2
  • Arlington, Virginia, USA, October 31–November 2, 2011
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5476-1
  • Copyright © 2011 by ASME


This paper describes motion intention classifiers which utilize reaction forces signals from heel and toe; and hip velocity information to predict subject’s intention. Those classifiers using Bayes method to predict (i) walk-to-stop, (ii) walking-speed-changing, and (iii) stop-to-motions. They are very accurate (most of them have accuracy rate higher than 90%) and a significant step in order to develop a multifunctional knee-ankle-foot orthosis.

Copyright © 2011 by ASME
Topics: Orthotics , Knee



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