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dc.contributor.authorKurzynski, M.
dc.contributor.authorWoloszynski, Tomasz
dc.contributor.authorWolczowski, A.
dc.date.accessioned2017-01-30T15:24:02Z
dc.date.available2017-01-30T15:24:02Z
dc.date.created2016-09-12T08:36:40Z
dc.date.issued2009
dc.identifier.citationKurzynski, M. and Woloszynski, T. and Wolczowski, A. 2009. Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45904
dc.identifier.doi10.1109/ITAB.2009.5394318
dc.description.abstract

The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of myopotentials acquired of his body. We assume that in the control process each prosthesis operation consists of specific sequence of elementary actions. The multiclassifier systems with fusion/selection strategy based on competence function are applied to the recognition of patient's intent. Experimental investigations of the proposed multiclassifiers for real data are performed and results are discussed. Classification results obtained for three simple fusion methods and one multiclassifier system are used for a comparison. ©2009 IEEE.

dc.titleMulticlassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand
dc.typeConference Paper
dcterms.source.titleFinal Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009
dcterms.source.seriesFinal Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009
dcterms.source.isbn9781424453795
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusFulltext not available


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