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dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorPaulraj, Murugesa Pandiyan, Assoc. Prof.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorAbd Hamid, Adom, Assoc. Prof. Dr.
dc.contributor.authorNagarajan, Ramachandran
dc.date.accessioned2010-11-15T07:59:56Z
dc.date.available2010-11-15T07:59:56Z
dc.date.issued2010-05-21
dc.identifier.citationp.1-4en_US
dc.identifier.isbn978-1-4244-7121-8
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545232
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10216
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractRobot chair control using an asynchronous brain machine interface (ABMI) based on motor imagery requires sufficient subject training. This paper proposes a generalized a brain machine interface design to investigate the feasibility of real-time robot chair control by trained subjects. Performance of the real-time experiments conducted for asynchronous navigation is assessed based on completion of a navigation protocol. The performances of the ABMI and its constraints are discussed.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010en_US
dc.subjectRobot chairen_US
dc.subjectAsynchronous brain machine interface (ABMI)en_US
dc.subjectCommunication systemen_US
dc.subjectDigital communication systemen_US
dc.titleRobot chair control using an asynchronous brain machineen_US
dc.typeWorking Paperen_US
dc.contributor.urlhemacr@yahoo.comen_US


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