Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
Today's advanced muscular sensing and processing technologies have made the acquisition of electromyography (EMG) signal which is valuable. EMG signal is the measurement of electrical potentials generated by muscle cells which is an indicator of muscle activity. Other than rehabilitation engine...
Main Authors: | Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/ http://irep.iium.edu.my/5898/1/05775536.pdf |
Similar Items
-
Neural network classifier for hand motion detection from EMG signal
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2011) -
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013) -
A step towards the development of VHDL model for ANN based EMG signal classifier
by: Ahsan, Md. Rezwanul, et al.
Published: (2012) -
Design and performance analysis of artificial neural network for hand motion detection from EMG signals
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013) -
EMG signal classification for human computer interaction: a review
by: Ahsan, Md. Rezwanul, et al.
Published: (2009)