Force classification using surface electromyography from various object lengths and wrist postures
Author:
Funder
Thailand Research Fund
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-019-01462-z.pdf
Reference32 articles.
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3. Al-Jumaily, A., Olivares, R.A.: Bio-driven system-based virtual reality for prosthetic and rehabilitation systems. Signal Image Video Process. 6, 71–84 (2012)
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5. Kamavuako, E.N., Farina, D., Yoshida, K., Jensen, W.: Relationship between grasping force and features of single-channel intramuscular EMG signals. J. Neurosci. Methods 185, 143–150 (2009)
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