Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Lee, C. | - |
dc.contributor.author | Park, H. | - |
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Kim, B. | - |
dc.contributor.author | Kim, L. | - |
dc.contributor.author | Kwon, G.H. | - |
dc.date.accessioned | 2024-01-12T06:54:41Z | - |
dc.date.available | 2024-01-12T06:54:41Z | - |
dc.date.created | 2022-03-07 | - |
dc.date.issued | 2014-01 | - |
dc.identifier.issn | 0747-668X | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/80331 | - |
dc.description.abstract | This 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.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Motor rehabilitation based on brain machine interface and Microsoft Kinect | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/ICCE.2014.6775987 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, pp.236 - 239 | - |
dc.citation.title | 2014 IEEE International Conference on Consumer Electronics, ICCE 2014 | - |
dc.citation.startPage | 236 | - |
dc.citation.endPage | 239 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Las Vegas, NV | - |
dc.citation.conferenceDate | 2014-01-10 | - |
dc.relation.isPartOf | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.identifier.scopusid | 2-s2.0-84898679301 | - |
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