ITM Web Conf.
Volume 18, 20187th Seminar on Industrial Control Systems: Analysis, Modeling and Computing (ICS 2018)
|Number of page(s)||4|
|Section||Devices, equipment and assistive technologies|
|Published online||09 April 2018|
Algorithms for classification of a single channel EMG signal for human-computer interaction
Moscow technological university, 119454 Moscow, Russia
* Corresponding author: firstname.lastname@example.org
One of the most accurate and effective ways to control gestures is to control muscle activity, which occurs with any movement. Electromyography (EMG) is used to record such activity. This article compares SVM classification algorithms, perceptron, random trees and the method of density of probability in relation to the EMG signal. Arduino Leonardo with a single-channel Shield EMG is used to record the signal. The aim of this paper is to prove the possibility of creating a cheap and accessible biointerface based on EMG signal.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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