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dc.contributor.authorLee, C.-
dc.contributor.authorPark, H.-
dc.contributor.authorKim, J.-
dc.contributor.authorKim, B.-
dc.contributor.authorKim, L.-
dc.contributor.authorKwon, G.H.-
dc.date.accessioned2024-01-12T06:54:41Z-
dc.date.available2024-01-12T06:54:41Z-
dc.date.created2022-03-07-
dc.date.issued2014-01-
dc.identifier.issn0747-668X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/80331-
dc.description.abstractThis paper presents a brain-machine interface (BMI)-based motor rehabilitation system for detecting the correct onset-time of motor intention by Microsoft Kinect™. BMI-based motor rehabilitation without time delay is a key challenge due to muscle spasticity of patient for detecting the motor intention in a real-time rehabilitation system. To circumvent the time delay problem, we employed Kinect on a BMI rehabilitation system which calibrates the onset-time of brain signal and assesses the behavioral pattern of motor activity. In this paper, we demonstrate that the onset-time calibration of brain response by the Kinect-BMI rehabilitation system can minimize time delay and estimate motor intention before the actual movement of the user. In addition, visual interaction through Kinect would increase engagement for a given task and could positively encourage motor recovery for patients. ? 2014 IEEE.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleMotor rehabilitation based on brain machine interface and Microsoft Kinect-
dc.typeConference-
dc.identifier.doi10.1109/ICCE.2014.6775987-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2014 IEEE International Conference on Consumer Electronics, ICCE 2014, pp.236 - 239-
dc.citation.title2014 IEEE International Conference on Consumer Electronics, ICCE 2014-
dc.citation.startPage236-
dc.citation.endPage239-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceLas Vegas, NV-
dc.citation.conferenceDate2014-01-10-
dc.relation.isPartOfDigest of Technical Papers - IEEE International Conference on Consumer Electronics-
dc.identifier.scopusid2-s2.0-84898679301-
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KIST Conference Paper > 2014
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