M. B. Reaz, M. S. Hussain, and F. Mohd-yasin, Techniques of EMG signal analysis: detection, processing, classification and applications, Biological Procedures Online, vol.13, issue.2, pp.11-35, 2006.
DOI : 10.1123/jab.13.2.135

A. Alkan and M. Gnay, Identification of EMG signals using discriminant analysis and SVM classifier, Expert Systems with Applications, vol.39, issue.1, pp.44-47, 2012.
DOI : 10.1016/j.eswa.2011.06.043

M. A. Oskoei and H. Huosheng, Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb, IEEE Transactions on Biomedical Engineering, vol.55, issue.8, pp.1956-1965, 2008.
DOI : 10.1109/TBME.2008.919734

URL : http://cswww.essex.ac.uk/staff/hhu/Papers/IEEE-TBME-V55-N8-2008.pdf

G. R. Naik, D. K. Kumar, and J. Jayadeva, Twin SVM for Gesture Classification Using the Surface Electromyogram, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.2, pp.301-308, 2010.
DOI : 10.1109/TITB.2009.2037752

N. Wang, Y. Chen, and X. Zhang, The recognition of multi-finger prehensile postures using LDA, Biomedical Signal Processing and Control, vol.8, issue.6, pp.2013-706
DOI : 10.1016/j.bspc.2013.06.006

E. N. Kamavuako, D. Farina, K. Yoshida, and W. Jensen, Relationship between grasping force and features of single-channel intramuscular EMG signals, Journal of Neuroscience Methods, vol.185, issue.1, pp.143-150, 2009.
DOI : 10.1016/j.jneumeth.2009.09.006

A. Ali, K. Sundaraj, R. B. Ahmad, N. U. Ahamed, and A. Islam, Surface electromyography for assessing triceps brachii muscle activities: A literature review, Biocybernetics and Biomedical Engineering, vol.33, issue.4, pp.187-195, 2013.
DOI : 10.1016/j.bbe.2013.09.001

Q. Liu, X. Zhao, and Z. Hou, Metric learning for event-related potential component classification in EEG signals, Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), pp.2005-2009, 2014.

F. F. Chamasemani and Y. P. Singh, Multi-class Support Vector Machine (SVM) Classifiers -An Application in Hypothyroid Detection and Classification, Sixth conference on Bio-Inspired Computing: Theroies and applications, pp.351-356, 2011.