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Assistive technology design and preliminary testing of a robot platform based on movement intention using low-cost brain computer interface

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dc.creatorSakamaki I.spa
dc.creatorDel Campo C.E.P.spa
dc.creatorWiebe S.A.spa
dc.creatorTavakoli M.spa
dc.creatorAdams K.spa
dc.date.accessioned2020-05-26T00:07:45Z
dc.date.available2020-05-26T00:07:45Z
dc.date.created2017spa
dc.description.abstractThe process through which children learn about the world and develop perceptual, cognitive and motor skills relies heavily on object exploration in their physical world. New types of assistive technology that enable children with impairments to interact with their environment have emerged in recent years, and they could be beneficial for children's cognitive and perceptual skills development. Many studies have reported on brain computer interface (BCI) research. However, a conventional electroencephalography (EEG) system is generally bulky and expensive. It also requires special equipment and technical expertise to operate successfully. In this study, a compact low-cost EEG system was used to detect signals related to movement intention and control a mobile robot control. EEG signals of three non-disabled adults were acquired by the BCI system and the movement intention was classified during physical movement and motor imagery. The average classification accuracies achieved during testing were 56.4% for the motor imagery and 72.7% for the physical movement. The results show moderate classification accuracy for the motor imagery; however, the classification accuracy for the physical movement was high for all the subjects. Even though further improvement of the system is still needed, the experimental results demonstrated the feasibility of a BCI-based robotic system that is affordable and accessible for many people including children with disabilities. © 2017 IEEE.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/SMC.2017.8122954
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24029
dc.language.isoengspa
dc.publisherInstitute of Electrical and Electronics Engineers Inc.spa
dc.relation.citationEndPage2248
dc.relation.citationStartPage2243
dc.relation.citationTitle2017 IEEE International Conference on Systems
dc.relation.citationVolumeVol. 2017
dc.relation.ispartof2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Vol.2017-January,(2017); pp. 2243-2248spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85044373876&doi=10.1109%2fSMC.2017.8122954&partnerID=40&md5=ee50328a57b7985c141649492fc0d457spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiomedical signal processingspa
dc.subject.keywordCyberneticsspa
dc.subject.keywordElectroencephalographyspa
dc.subject.keywordElectrophysiologyspa
dc.subject.keywordInterfaces (computer)spa
dc.subject.keywordMachine designspa
dc.subject.keywordRobotsspa
dc.subject.keywordAssistive technologyspa
dc.subject.keywordChildren with disabilitiesspa
dc.subject.keywordClassification accuracyspa
dc.subject.keywordEvent related desynchronizationspa
dc.subject.keywordMobile robot controlspa
dc.subject.keywordMovement intentionsspa
dc.subject.keywordRobot controlsspa
dc.subject.keywordTechnical expertisespa
dc.subject.keywordBrain computer interfacespa
dc.subject.keywordAssistive Technologyspa
dc.subject.keywordBrain Computer Interfaces (BCI)spa
dc.subject.keywordEvent Related Desynchronization (ERD)spa
dc.subject.keywordRobot Controlspa
dc.titleAssistive technology design and preliminary testing of a robot platform based on movement intention using low-cost brain computer interfacespa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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