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Gait estimation system for leg diagnosis and rehabilitation using gyroscopes

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dc.contributor.authorLee, M.Y.-
dc.contributor.authorLee, S.-
dc.date.accessioned2021-12-17T04:42:00Z-
dc.date.available2021-12-17T04:42:00Z-
dc.date.created2021-12-16-
dc.date.issued2010-
dc.identifier.issn1976-5622-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21636-
dc.description.abstractGait analysis is essential for leg diagnosis and rehabilitation for the patients, the handicapped and the elderly. The use of 3D motion capture device for gait analysis is very common for gait analysis. However, this device has several shortcomings including limited workspace, visibility and high price. Instead, we developed gait estimation system using gyroscopes. This system provides gait information including the number of gaits, stride and walking distance. With four gyroscope (one for each leg's thigh and calf) outputs, the proposed gait modeling estimates the movements of the hip, the knees and the feet. Complete pedestrian localization is implemented with gait information and the heading angle estimated from the rate gyro and the magnetic compass measurements. The developed system is very useful for diagnosis and the rehabilitation of the pedestrian at the hospital. It is also useful for indoor localization of the pedestrians. © ICROS 2010.-
dc.language한국어-
dc.language.isoko-
dc.titleGait estimation system for leg diagnosis and rehabilitation using gyroscopes-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, S.-
dc.identifier.doi10.5302/J.ICROS.2010.16.9.866-
dc.identifier.scopusid2-s2.0-84860905470-
dc.identifier.bibliographicCitationJournal of Institute of Control, Robotics and Systems, v.16, no.9, pp.866 - 871-
dc.relation.isPartOfJournal of Institute of Control, Robotics and Systems-
dc.citation.titleJournal of Institute of Control, Robotics and Systems-
dc.citation.volume16-
dc.citation.number9-
dc.citation.startPage866-
dc.citation.endPage871-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART001475463-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorGait-
dc.subject.keywordAuthorGyroscope-
dc.subject.keywordAuthorPedestrian localization-
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