Abstract
The goal of this study is to explore the effects of electrode placement on the hand gesture pattern recognition performance. We have conducted experiments with surface EMG sensors using two detecting electrode channels. In total 25 different hand gestures and 10 different electrode positions for measuring muscle activities have been evaluated. Based on the experimental results, dependencies between surface EMG signal detection positions and hand gesture recognition performance have been analyzed and summarized as suggestions how to define hand gestures and select suitable electrode positions for a myoelectric control system. This work provides useful insight for the development of a medical rehabilitation system based on EMG technique. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Zhang, X., Chen, X., Zhao, Z. Y., Tu, Y. Q., Yang, J. H., Lantz, V., & Wang, K. Q. (2008). Research on gesture definition and electrode placement in pattern recognition of hand gesture action SEMG. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4901 LNCS, pp. 33–40). https://doi.org/10.1007/978-3-540-77413-6_5
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