Affiliations: [a] Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China
| [b] Institute of Precision Manufacturing, Wuhan University of Science and Technology, Wuhan, China
| [c] Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, China
| [d] Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, China
| [e] School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK
Correspondence:
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Corresponding author. Gongfa Li, Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China. E-mail: ligongfa@wust.edu.cn.
Abstract: Based on HSV gamut space, a visualization system of muscle activity is proposed to study the mapping relationship between hand motion and active areas of upper arm muscle. There is a significant threshold change in the starting and ending points of the active segment in the original EMG signal, and the part that exceeds the threshold TH is the active segment date. Set the window width K and fixed increment Kt of time window to remove redundant data. The sEMG intensity information of each sampling electrode is obtained by calculating MAV in each window, and the simulation experiment is conducted in HSV gamut space. Through the human-computer interaction experiment of the visual system, it is proved that this system can visually display the relationship between different channels in the spatial domain, thus intuitively identify the activity intensity of different muscles in hand motion.
Keywords: Visualization system, hand motion, upper arm muscle, active areas, sEMG
