표면 근전도 신호처리 기반 인간 팔 동작의 추종 알고리즘Human Arm Motion Tracking based on sEMG Signal Processing
- Other Titles
- Human Arm Motion Tracking based on sEMG Signal Processing
- Authors
- 최영진; 유현재
- Issue Date
- Aug-2007
- Publisher
- 제어·로봇·시스템학회
- Keywords
- sEMG(surface electromyogram) sensor; flexion; extension; signal processing; scaling function; biceps brachii; deltoideus; real time motion tracking; sEMG(surface electromyogram) sensor; flexion; extension; signal processing; scaling function; biceps brachii; deltoideus; real time motion tracking
- Citation
- 제어.로봇.시스템학회 논문지, v.13, no.8, pp.769 - 776
- Indexed
- KCI
- Journal Title
- 제어.로봇.시스템학회 논문지
- Volume
- 13
- Number
- 8
- Start Page
- 769
- End Page
- 776
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/44047
- ISSN
- 1976-5622
- Abstract
- This paper proposes the human arm motion tracking algorithm based on the signal processing for surface EMG (electromyogram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the flexion and extension motions of elbow and shoulder. Also, we show the validity of the suggested algorithms through the experiments.
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Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles
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