Adaptive shared control strategies based in the Bayesian recursive technique in an intelligent wheelchair.

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dc.contributor.author Trieu, HT
dc.contributor.author Willey, K
dc.contributor.author Nguyen, HT
dc.date.accessioned 2010-05-28T10:01:44Z
dc.date.issued 2009
dc.identifier.citation Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2009, pp. 7118 - 7121
dc.identifier.issn 1557-170X
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 user'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.
dc.relation.hasversion Accepted manuscript version en_US
dc.title Adaptive shared control strategies based in the Bayesian recursive technique in an intelligent wheelchair.
dc.type Conference Proceeding
dc.parent Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
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 Biomedical Engineering Not Elsewhere Classified
dc.personcode 840115
dc.personcode 995679
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.description.keywords Humans
dc.description.keywords Bayes Theorem
dc.description.keywords Equipment Design
dc.description.keywords Wheelchairs
dc.description.keywords Biomedical Engineering
dc.description.keywords Artificial Intelligence
dc.description.keywords Humans
dc.description.keywords Biomedical Engineering
dc.description.keywords Artificial Intelligence
dc.description.keywords Wheelchairs
dc.description.keywords Bayes Theorem
dc.description.keywords Equipment Design
dc.description.keywords Humans
dc.description.keywords Bayes Theorem
dc.description.keywords Equipment Design
dc.description.keywords Wheelchairs
dc.description.keywords Biomedical Engineering
dc.description.keywords Artificial Intelligence
dc.description.keywords Humans
dc.description.keywords Biomedical Engineering
dc.description.keywords Artificial Intelligence
dc.description.keywords Wheelchairs
dc.description.keywords Bayes Theorem
dc.description.keywords Equipment Design
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
pubs.organisational-group /University of Technology Sydney/Strength - Realtime Information Networks


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