Abstract
Hand motion classification using surface electromyography (sEMG) has been widely studied for its applications in upper-limb prosthesis and human-machine interface etc. Pattern-recognition based control methods have many advantages, and the reported classification accuracy can meet the requirements of practical applications. However, the pattern instability of sEMG in actual use limited their real implementations, and limb position variations may be one of the potential factors. © 2013 IEEE.
Cite
CITATION STYLE
Peng, L., Hou, Z., Chen, Y., Wang, W., Tong, L., & Li, P. (2013). Combined use of sEMG and accelerometer in hand motion classification considering forearm rotation. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 4227–4230). https://doi.org/10.1109/EMBC.2013.6610478
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