Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns

Alçin, Ömer; Budak, Ümit; Aslan, Muzaffer; Akbulut, Yaman; Cömert, Zafer; Akpınar, MUHAMMED; Şengür, Abdulkadir

Classification of physical actions from surface EMG signals using the wavelet packet transform and local binary patterns

Alçin Ö. F., Budak Ü., Aslan M., Akbulut Y., Cömert Z., Akpınar M. H., ...More

in: Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1, Varun Bajaj,G.R.Sinha, Editor, Institute of Physics Publishing (IOP) , Bristol, pp.8-23, 2020

Publication Type: Book Chapter / Chapter Other Book
Publication Date: 2020
Publisher: Institute of Physics Publishing (IOP)
City: Bristol
Page Numbers: pp.8-23
Editors: Varun Bajaj,G.R.Sinha, Editor
Istanbul University-Cerrahpasa Affiliated: No

Abstract

Physical action recognition is a hot topic in human–machine interactions. It has potential uses in helping disabled people and in various robotic applications. Electromyography (EMG) signals measure the electrical activity of the muscular systems involved in physical actions. In this chapter, an efficient approach is developed for physical action recognition in humans based on EMG signals. The proposed method is composed of signal decomposition, feature extraction and feature classification.