Algorithms for classification of a single channel EMG signal for human-computer interaction
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 probabilit...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://doi.org/10.1051/itmconf/20181802001 |