Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim

Electromyographic signals have been used with low-degree-of-freedom prostheses, and recently with multifunctional prostheses. Currently, they are also being used as inputs in the human–computer interface that controls interaction through hand gestures. Although there is a gap between academic public...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 10; p. 3737
Main Authors:	Amezquita-Garcia, Jose, Bravo-Zanoguera, Miguel, Gonzalez-Navarro, Felix F., Lopez-Avitia, Roberto, Reyna, M. A.
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.05.2022 MDPI
Subjects:	Analysis Artificial Limbs Bayes Theorem biomechanical simulation Classification classification model Electrodes Electromyography Electromyography - methods Humans Implants, Artificial Machine Learning Pattern Recognition, Automated - methods Prostheses Prosthesis Sensors Signal Processing, Computer-Assisted Technology application Mexico electromyography biomechanical simulation classification model
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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