Investigation of the Possibility of Vector-Command Control Based on Forearm EMG

Author:

Budko NataliaORCID,Medvedev MikhailORCID,Budko ArtemORCID,Budko RaisaORCID

Publisher

Springer Singapore

Reference20 articles.

1. Oskoei, M.A., Hu, H.: Myoelectric control systems—a survey. Biomed. Signal Process. Control 2(4), 275–294 (2007). https://doi.org/10.1016/j.bspc.2007.07.009

2. Budko, N.A., Budko, R.Yu., Budko, A.Yu.: Application of artificial neural networks in human-machine interfaces. Model. Optim. Inf. Technol. 7(1), 328–340 (2019)

3. Budko, R.Yu., Chernov, N.N., Budko, N.A., Budko, A.Yu.: Recognition of the electromyogram of the forearm and the choice of gestures to control the prosthesis. Model. Optim. Inf. Technol. 7(1), 54–66 (2019)

4. Budko, R.Yu., Chernov, N.N., Budko, N.A.: Research of methods of EMG classification in the problem of control of hand gestures. Proc. High. Educ. Inst. Instrum. Mak. 62(12), 1098–1104 (2019). https://doi.org/10.17586/0021-3454-2019-62-12-1098-1104

5. Budko, R.Yu., Chernov, N.N., Budko, N.A.: Method of control of devices for replacement of lost functions based on myosignal and its verification in real time. Electron. Sci. J. Bull. Youth Sci. Russ. 6 (2019)

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