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., ...Daha Fazla

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

Yayın Türü: Kitapta Bölüm / Diğer
Basım Tarihi: 2020
Yayınevi: Institute of Physics Publishing (IOP)
Basıldığı Şehir: Bristol
Sayfa Sayıları: ss.8-23
Editörler: Varun Bajaj,G.R.Sinha, Editör
İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

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.