Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair

Nguyen, AV; Su, S; Nguyen, HT

Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair

Nguyen, AV Su, S

Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, pp. 7250 - 7253
Issue Date:: 2011-12-26

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Field	Value	Language
dc.contributor.author	Nguyen, AV	en_US
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2011-12-26	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2011, pp. 7250 - 7253	en_US
dc.identifier.isbn	9781424441211	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19261
dc.description.abstract	This paper introduces a new shared control strategy for an intelligent wheelchair using a Bayesian recursive algorithm. Using the local environment information gathered by a laser range finder sensor and commands acquired through a user interface, a Bayesian recursive algorithm has been developed to find the most appropriate free-space, which corresponds to the highest posterior probability value. Then, an autonomous navigation algorithm will assist to manoeuvre the wheelchair in the chosen free-space. Experiment results demonstrate that the new method provides excellent performance with great flexibility and fast response. © 2011 IEEE.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/IEMBS.2011.6091832	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Models, Statistical	en_US
dc.subject.mesh	Probability	en_US
dc.subject.mesh	Bayes Theorem	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Equipment Design	en_US
dc.subject.mesh	Wheelchairs	en_US
dc.subject.mesh	Biomedical Engineering	en_US
dc.subject.mesh	Robotics	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Artificial Intelligence	en_US
dc.subject.mesh	Computers	en_US
dc.subject.mesh	Signal Processing, Computer-Assisted	en_US
dc.subject.mesh	User-Computer Interface	en_US
dc.title	Development of a Bayesian recursive algorithm to find free-spaces for an intelligent wheelchair	en_US
dc.type	Conference Proceeding
utslib.for	090303 Biomedical Instrumentation	en_US
dc.location.activity	Boston, Massachusetts, USA	en_US
pubs.embargo.period	Not known	en_US
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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

This paper introduces a new shared control strategy for an intelligent wheelchair using a Bayesian recursive algorithm. Using the local environment information gathered by a laser range finder sensor and commands acquired through a user interface, a Bayesian recursive algorithm has been developed to find the most appropriate free-space, which corresponds to the highest posterior probability value. Then, an autonomous navigation algorithm will assist to manoeuvre the wheelchair in the chosen free-space. Experiment results demonstrate that the new method provides excellent performance with great flexibility and fast response. © 2011 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/19261