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dc.contributor.author Ajiboye, Abidemi Bolu
dc.contributor.author Weir, Richard F.
dc.contributor.author Heckathorne, Craig W.
dc.contributor.author Childress, Dudley S.
dc.date.accessioned 2010-07-16T18:17:18Z
dc.date.available 2010-07-16T18:17:18Z
dc.date.issued 2002
dc.identifier.citation MEC '02 : the next generation : University of New Brunswick's Myoelectric Controls/Powered Prosthetics Symposium, Fredericton, N.B., Canada, August 21-23, 2002 : conference proceedings. en_US
dc.identifier.isbn 1551310295 9781551310299
dc.identifier.uri http://hdl.handle.net/10161/2662
dc.description.abstract We propose an algorithm based upon neurofuzzy technology. We believe that because of the inherent “fuzziness” of human activity, a control algorithm based on fuzzy logic may have advantages for multifunctional prosthesis control. We seek an acceptable compromise between the number of electrode sites used and processing complexity, and thereby desire not more than three to four control sites to control three to four DOF. This approach delivers more information to the system and, by using fuzzy logic, reduces the complexity of the processing. en_US
dc.format.extent 222059 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.publisher Myoelectric Symposium en_US
dc.subject Neurofuzzy logic en_US
dc.subject control algorithm en_US
dc.subject hand prosthesis en_US
dc.subject prosthesis en_US
dc.title Neurofuzzy Logic as a Control Algorithm for an Externally Powered Multifunctional Hand Prosthesis en_US
dc.type Article en_US

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