Training Strategy and sEMG Sensor Positioning for Finger Force Estimation at Various Elbow Angles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-021-0277-8.pdf
Reference35 articles.
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3. A. Phinyomark, F. Quaine, S. Charbonnier, C. Serviere, F. Tarpin-Bernard, and Y. Laurillau, “EMG feature evaluation for improving myoelectric pattern recognition robustness,” Expert Systems with Applications, vol. 40, no. 12, pp. 4832–4840, 2013.
4. R. Boostani and M. H. Moradi, “Evaluation of the forearm EMG signal features for the control of a prosthetic hand,” Physiological Measurement, vol. 24, no. 2, p. 309, 2003.
5. C. Cipriani, F. Zaccone, S. Micera, and M. C. Carrozza, “On the shared control of an EMG-controlled prosthetic hand: Analysis of user-prosthesis interaction,” IEEE Transactions on Robotics, vol. 24, no. 1, pp. 170–184, 2008.
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