Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm
Author(s) -
Yves Losier,
Kevin Englehart,
Bernard Hudgins
Publication year - 2011
Publication title -
the journal of rehabilitation research and development
Language(s) - English
Resource type - Journals
eISSN - 1938-1352
pISSN - 0748-7711
DOI - 10.1682/jrrd.2010.08.0165
Subject(s) - usability , task (project management) , computer science , protocol (science) , residual , motion (physics) , signal (programming language) , physical medicine and rehabilitation , dual (grammatical number) , motion control , artificial intelligence , human–computer interaction , engineering , medicine , robot , art , alternative medicine , literature , systems engineering , pathology , algorithm , programming language
This article describes the design and evaluation of two comprehensive strategies for endpoint-based control of multiarticulated powered upper-limb prostheses. One method uses residual shoulder motion position; the other solely uses myoelectric signal pattern classification. Both approaches are calibrated for individual users through a short training protocol. The control systems were assessed both quantitatively and qualitatively with use of a functional usability protocol based on a dual-task paradigm. The results revealed that the residual motion-based strategy outperformed the myoelectric signal-based scheme, while neither strategy appeared to significantly increase the mental burden demanded of the users.
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