Evaluation of time-domain features for motor imagery movements using FCM and SVM

Khorshidtalab, Aida and Salami, Momoh Jimoh Eyiomika and Hamedi , Mahyar (2012) Evaluation of time-domain features for motor imagery movements using FCM and SVM. In: 2012 Ninth International Joint Conference on Computer Science and Software Engineering (JCSSE'), 30 May-1 June 2012, Bangkok, Thailand .

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Abstract

Brain–Machine Interface is a direct communication pathway between brain and an external electronic device. BMIs aim to translate brain activities into control commands. To design a system that translates brain waves and its activities to desired commands, motor imagery tasks classification is the core part. Classification accuracy not only depends on how capable the classifier is but also it is about the input data. Feature extraction is to highlight the properties of signal that make it distinct from the signal of the other mental tasks. Performance of BMIs directly depends on the effectiveness of the feature extraction and classification algorithms. If a feature provides large interclass difference for different classes, the applied classifier exhibits a better performance. In order to attain less computational complexity, five timedomain procedure, namely: Mean Absolute Value, Maximum peak value, Simple Square Integral, Willison Amplitude, and Waveform Length are used for feature extraction of EEG signals. Two classifiers are applied to assess the performance of each feature-subject. SVM with polynomial kernel is one of the applied nonlinear classifier and supervised FCM is the other one. The performance of each feature for input data are evaluated with both classifiers and classification accuracy is the considered common comparison parameter.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	2470/26866 (Print ISBN: 9781467319201, DOI : 10.1109/JCSSE.2012.6261918)
Uncontrolled Keywords:	Brain-Machine Interface , Electroencephalogram , Feature extraction , Fuzzy C-Means , Motor imagery , Support Vector Machine
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof Momoh-Jimoh Salami
Date Deposited:	27 Nov 2012 12:02
Last Modified:	27 Nov 2012 12:02
URI:	http://irep.iium.edu.my/id/eprint/26866

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