A VIRTUAL ENVIRONMENT ASSESSMENT OF A NOVEL PATTERN RECOGNITION BASED MYOELECTRIC CONTROL SCHEME

dc.contributor.author	Hargrove, Levi
dc.contributor.author	Scheme, Erik
dc.contributor.author	Englehart, Kevin
dc.contributor.author	Hudgins, Bernie
dc.date.accessioned	2010-07-28T19:25:51Z
dc.date.available	2010-07-28T19:25:51Z
dc.date.issued	2008
dc.identifier.citation	Proceedings of the MEC’08 conference, UNB; 2008.	en_US
dc.identifier.uri	http://hdl.handle.net/10161/2784
dc.description.abstract	This work compared a novel pattern recognition based myoelectric control system to a system based on conventional control and another state of the art pattern recognition system. The results showed that the proposed system provides a more usable system as assessed qualitatively and quantitatively through a modified virtual clothespin test. Furthermore, the proposed system was designed to have an intuitive clinician interface and should help facilitate the acceptance of pattern recognition based myoelectric control systems in the clinic.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Myoelectric Symposium	en_US
dc.subject	myoelectric control schemes	en_US
dc.title	A VIRTUAL ENVIRONMENT ASSESSMENT OF A NOVEL PATTERN RECOGNITION BASED MYOELECTRIC CONTROL SCHEME	en_US
dc.type	Article	en_US