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dc.contributor.author최영진-
dc.date.accessioned2019-05-22T00:58:21Z-
dc.date.available2019-05-22T00:58:21Z-
dc.date.issued2008-12-
dc.identifier.citation제어로봇시스템학회 논문지, v. 14, No. 12, Page. 1278-1285en_US
dc.identifier.issn1976-5622-
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE01960884-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/105302-
dc.description.abstractAn optimization-based real-time joint angle extraction method of human elbow is proposed by processing the biomedical signal of surface EMG (electromyogram) measured at the center point of biceps brachii. The EMG signal is known as non-stationary (time-varying) signal, but we assume that it is quasi-stationary because a physical or physiological system has limitations in the rate at which it can change its characteristics. Based on the assumption, a pre-processing method to obtain pre-angle values from raw EMG signal is firstly suggested, and then an optimization method to minimize the error between the pre-angle and real joint angle is proposed in this paper. Finally, we suggest the experimental results showing the effectiveness of the proposed algorithm.en_US
dc.language.isoko_KRen_US
dc.publisher제어로봇시스템학회en_US
dc.subjectEMG(Electromyogram) signalen_US
dc.subjectlagrange multiplier methoden_US
dc.subjectmoving averagingen_US
dc.subjectoptimizationen_US
dc.subjectreal-time signal processingen_US
dc.title최적화 기반 인간 팔꿈치 관절각 실시간 추출 방법en_US
dc.title.alternativeOptimization-based Real-time Human Elbow Joint Angle Extraction Methoden_US
dc.typeArticleen_US
dc.relation.journal제어.로봇.시스템학회 논문지-
dc.contributor.googleauthor최영진-
dc.contributor.googleauthor유현재-
dc.relation.code2012218715-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidcyj-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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