Publication:
BCI-based assistive robot arm

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dc.contributor.authorJ. Arnilen_US
dc.contributor.authorD. Anopasen_US
dc.contributor.authorM. Horapongen_US
dc.contributor.authorK. Luangraten_US
dc.contributor.authorY. Punsawaden_US
dc.contributor.authorY. W. Ongsawaten_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-10-19T04:51:33Z
dc.date.available2018-10-19T04:51:33Z
dc.date.issued2013-08-15en_US
dc.description.abstractPeople who lost their limbs by injury or congenital missing need prosthesis to replace the missing body part to assist or enhance the motor ability or for cosmetic purpose. In this paper, brain-computer interface (BCI) technology is proposed to assist the person with disability who has no arm. The proposed system includes two BCI algorithms, i.e. ERD/ERS algorithm and hybrid EEG-EOG algorithm. The designed assistive robot arm is light weight, low power consumption, user friendly and pleasing aesthetic. The ERD/ERS algorithm can achieve the accuracy of approximately 66% with 3 commands. Moreover, the accuracy of the hybrid EEG-EOG algorithm yields nearly 96%. © 2013 IEEE.en_US
dc.identifier.citationInternational Symposium on Medical Information and Communication Technology, ISMICT. (2013), 208-212en_US
dc.identifier.doi10.1109/ISMICT.2013.6521730en_US
dc.identifier.issn23268301en_US
dc.identifier.issn2326828Xen_US
dc.identifier.other2-s2.0-84881319581en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/31628
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84881319581&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.subjectHealth Professionsen_US
dc.subjectMedicineen_US
dc.titleBCI-based assistive robot armen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84881319581&origin=inwarden_US

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