Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51180
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dc.titleHybrid P300 and mu-beta brain computer interface to operate a brain controlled wheelchair
dc.contributor.authorRebsamen, B.
dc.contributor.authorBurdet, E.
dc.contributor.authorZeng, Q.
dc.contributor.authorZhang, H.
dc.contributor.authorAng, M.
dc.contributor.authorTeo, C.L.
dc.contributor.authorGuan, C.
dc.contributor.authorLaugier, C.
dc.date.accessioned2014-04-24T08:35:37Z
dc.date.available2014-04-24T08:35:37Z
dc.date.issued2008
dc.identifier.citationRebsamen, B.,Burdet, E.,Zeng, Q.,Zhang, H.,Ang, M.,Teo, C.L.,Guan, C.,Laugier, C. (2008). Hybrid P300 and mu-beta brain computer interface to operate a brain controlled wheelchair. i-CREATe 2008 - International Convention on Rehabilitation Engineering and Assistive Technology 2008 : 51-55. ScholarBank@NUS Repository.
dc.identifier.isbn9789810803681
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51180
dc.description.abstractThis paper describes a control strategy to drive a wheelchair in a building environment by thought. The user selects the destination in a list of predefined locations of interest using a slow but safe P300 EEG interface. The robotic wheelchair navigates autonomously toward destination following virtual guiding paths. Along the way the user has the possibility to stop the movement using a fast μβ-rhythm BCI. Experiments demonstrate how healthy subjects can navigate safely in an home-like environment using this novel hybrid BCI.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitlei-CREATe 2008 - International Convention on Rehabilitation Engineering and Assistive Technology 2008
dc.description.page51-55
dc.identifier.isiutNOT_IN_WOS
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