Adaptive EEG thought pattern classifier for advanced wheelchair control.

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dc.contributor.author Craig, DA
dc.contributor.author Nguyen, HT
dc.date.accessioned 2009-11-09T05:36:36Z
dc.date.issued 2007
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, 2007, pp. 2544 - 2547
dc.identifier.issn 1557-170X
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2765
dc.description.abstract This paper presents a real-time Electroencephalogram (EEG) classification system, with the goal of enhancing the control of a head-movement controlled power wheelchair for patients with chronic Spinal Cord Injury (SCI). Using a 32 channel recording device, mental command data was collected from 10 participants. This data was used to classify three different mental commands, to supplement the five commands already available using head movement control. Of the 32 channels that were recorded only 4 were used in the classification, achieving an average classification rate of 82%. This paper also demonstrates that there is an advantage to be gained by doing adaptive training of the classifier. That is, customizing the classifier to a person previously unseen by the classifier caused their average recognition rates to improve from 52.5% up to 77.5%.
dc.title Adaptive EEG thought pattern classifier for advanced wheelchair control.
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 Lyon, France en_US
dc.identifier.startpage 2544 en_US
dc.identifier.endpage 2547 en_US
dc.cauo.name FEIT. A/DRsch Ctre for Health Technologies en_US
dc.conference Verified OK en_US
dc.conference IEEE Engineering in Medicine and Biology Society Annual Conference
dc.conference.location Lyon, France en_US
dc.for 0903 Biomedical Engineering
dc.personcode 840115
dc.personcode 930162
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom IEEE Engineering in Medicine and Biology Society Annual Conference en_US
dc.date.activity 20070823 en_US
dc.date.activity 2007-08-23
dc.location.activity Lyon, France en_US
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
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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