표면 근전도 신호처리 기반 인간 팔 동작의 추종 알고리즘
- Title
- 표면 근전도 신호처리 기반 인간 팔 동작의 추종 알고리즘
- Other Titles
- Human Arm Motion Tracking based on sEMG Signal Processing
- Author
- 최영진
- Keywords
- sEMG(surface electromyogram) sensor; flexion; extension; signal processing; scaling function; biceps brachii; deltoideus; real time motion tracking
- Issue Date
- 2007-08
- Publisher
- 제어로봇시스템학회
- Citation
- 제어로봇시스템학회 논문지, v. 13, No. 8, Page. 769 - 776
- 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.
- URI
- http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01975696&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/106884
- ISSN
- 1976-5622
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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