HIGHLIGHTS
- who: David Tinoco-Varela et al. from the Engineering Department, Superior Studies Faculty-Cuautitlu00e1n, National Autonomous University of Mexico have published the paper: Design and Implementation of a Prosthesis System Controlled by Electromyographic Signals Means, Characterized with Artificial Neural Networks, in the Journal: Micromachines 2022, 13, 1681. of /2022/
- what: Gesture or manual movement classification is one of the goals of this work since it seeks to develop a system that adequately classifies the EMG signals of the user, and to use that classification to control a hand prosthesis. In this work, a supervised learning . . .
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