Bayesian neural network classification of head movement direction using various advanced optimisation training algorithms

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dc.contributor.author Nguyen, ST
dc.contributor.author Nguyen, HT
dc.contributor.author Taylor, PB
dc.date.accessioned 2009-11-09T05:36:37Z
dc.date.issued 2006
dc.identifier.citation Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006, 2006, 2006 pp. 1014 - 1019
dc.identifier.isbn 1424400406
dc.identifier.isbn 9781424400409
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2767
dc.description.abstract Head movement is one of the most effective hands-free control modes for powered wheelchairs. It provides the necessary mobility assistance to severely disabled people and can be used to replace the joystick directly. In this paper, we describe the development of Bayesian neural networks for the classification of head movement commands in a hands-free wheelchair control system. Bayesian neural networks allow strong generalisation of head movement classifications during the training phase and do not require a validation data set. Various advanced optimisation training algorithms are explored. Experimental results show that Bayesian neural networks can be developed to classify head movement commands by abled and disabled people accurately with limited training data.
dc.relation.isbasedon 10.1109/BIOROB.2006.1639224
dc.title Bayesian neural network classification of head movement direction using various advanced optimisation training algorithms
dc.type Conference Proceeding
dc.parent Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
dc.journal.volume 2006
dc.journal.number en_US
dc.publocation Pisa, Italy en_US
dc.publocation Pisa, Italy
dc.identifier.startpage 1 en_US
dc.identifier.endpage en_US
dc.identifier.endpage 6 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference International Conference on Biomedical Robotics and Biomechatronics
dc.conference.location Pisa, Italy en_US
dc.for 090305 Rehabilitation Engineering
dc.personcode 840115
dc.personcode 114716
dc.percentage 100 en_US
dc.classification.name Rehabilitation Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Biomedical Robotics and Biomechatronics en_US
dc.date.activity 20060820 en_US
dc.date.activity 2006-08-20
dc.location.activity Pisa, Italy en_US
dc.location.activity Pisa, Italy
dc.description.keywords Bayesian Neural Network, Head Movement Classification, Powered Wheelchair en_US
dc.description.keywords Bayesian Neural Network, Head Movement Classification, Powered Wheelchair
dc.description.keywords Bayesian neural networks
dc.description.keywords Bayesian neural networks
dc.description.keywords Head-movement classification
dc.description.keywords Head-movement classification
dc.description.keywords Powered wheelchair
dc.description.keywords Powered wheelchair
dc.description.keywords Bayesian neural networks
dc.description.keywords Head-movement classification
dc.description.keywords Powered wheelchair
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/Strength - Health Technologies


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