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최적화 기반 인간 팔꿈치 관절각 실시간 추출 방법Optimization-based Real-time Human Elbow Joint Angle Extraction Method

Other Titles
Optimization-based Real-time Human Elbow Joint Angle Extraction Method
Authors
Choi, Young-JinYu, Hyeon-Jae
Issue Date
Dec-2008
Publisher
제어로봇시스템학회
Keywords
EMG (Electromyogram) signal; Lagrange multiplier method; Moving averaging; Optimization; Real-time signal processing
Citation
Journal of Institute of Control, Robotics and Systems, v.14, no.12, pp 1278 - 1285
Pages
8
Indexed
SCOPUS
KCI
Journal Title
Journal of Institute of Control, Robotics and Systems
Volume
14
Number
12
Start Page
1278
End Page
1285
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43038
DOI
10.5302/J.ICROS.2008.14.12.1278
ISSN
1976-5622
2233-4335
Abstract
An 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.
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Choi, Youngjin
ERICA 공학대학 (DEPARTMENT OF ROBOT ENGINEERING)
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