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http://dx.doi.org/10.5302/J.ICROS.2007.13.8.769

Human Arm Motion Tracking based on sEMG Signal Processing  

Choi, Young-Jin (한양대학교 전자컴퓨터공학부)
Yu, Hyeon-Jae (한양대학교 대학원 전자전기제어계측공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.8, 2007 , pp. 769-776 More about this Journal
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.
Keywords
sEMG(surface electromyogram) sensor; flexion; extension; signal processing; scaling function; biceps brachii; deltoideus; real time motion tracking;
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