Adaptive shared control strategies based on the Bayesian recursive technique for an intelligent wheelchair

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dc.contributor.author Trieu, Tuyen en_US
dc.contributor.author Willey, Keith en_US
dc.contributor.author Nguyen, Hung en_US
dc.contributor.editor Zhi-Pei Liang en_US
dc.date.accessioned 2010-05-28T10:01:44Z
dc.date.available 2010-05-28T10:01:44Z
dc.date.issued 2009 en_US
dc.identifier 2009001736 en_US
dc.identifier.citation Trieu Tuyen, Willey Keith, and Nguyen Hung 2009, 'Adaptive shared control strategies based on the Bayesian recursive technique for an intelligent wheelchair', IEEE, USA, pp. 7118-7121. en_US
dc.identifier.issn 978-1-4244-3296-7 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/11085
dc.description.abstract In this paper we present an adaptive shared control method for an intelligent wheelchair based on the Bayesian recursive technique to assist a disable user in performing obstacle avoidance tasks. Three autonomous tasks have been developed for different types of environments to improve the performance of the overall system. The system combines local environmental information gathered using a laser range finder sensor with the usera??s intentions to select the most suitable autonomous task in different situations. The evidences of these tasks are estimated by the Bayesian recursive technique during movements of the wheelchair. The most appropriate task is chosen to be the with the highest evidence value. Experimental results show significant performance improvements compared to our previously reported shared control methods. en_US
dc.language English en_US
dc.publisher IEEE en_US
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon NA en_US
dc.title Adaptive shared control strategies based on the Bayesian recursive technique for an intelligent wheelchair en_US
dc.parent Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 7118 en_US
dc.identifier.endpage 7121 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 090399 en_US
dc.personcode 10497170 en_US
dc.personcode 995679 en_US
dc.personcode 840115 en_US
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering not elsewhere classified en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE Engineering in Medicine and Biology Society Annual Conference en_US
dc.date.activity 20090902 en_US
dc.location.activity Minneapolis, Minnesota, USA en_US
dc.description.keywords intelligent wheelchair, Bayesian recursive technique, shared control en_US
dc.staffid en_US
dc.staffid 840115 en_US


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