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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-258
Full Name: vijay khare
Position: Senior Lecturer
Age: ON
Sex: Male
Address: JIIT UNIVERSITY ,A-10,SECOTR-62,NOIDA
Country: INDIA
Tel: 09891372671
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E-mail address: vijay.khare@jiit.ac.in
Other E-mails: khare_vijay123@yahoo.com
Title of the Paper: Performance Comparison of Two Methods for Classification of EEG Signals of Five Mental Tasks
Authors as they appear in the Paper: Vijay Khare, Jayashree Santhosh, Sneh Anand, Manvir Bhatia
Email addresses of all the authors: vijay. khar e@jiit.ac.in,jayashree@cc.iitd.ac.in,sneh@iitd.ernet.in,manvirbhatia1@yahoo.com
Number of paper pages: 10
Abstract: In this paper performance of two methods were investigated for classification of five mental tasks from raw Electroencephalograph (EEG) signal. Aim of this research was to improve brain computer interface (BCI) system applications. For this study, Wavelet packet transform (WPT) was used for feature extraction of the relevant frequency bands from raw electroencephalogram (EEG) signals. The two classifiers used were Radial Basis Function neural network , and multilayer neural network.
Keywords: Electroencephalogram (EEG), Wavelet Packet Transform (WPT), Radial Basis Function Neural Network(RBFNN), Multilayer Neural Network, Brain computer interfaces (BCI).
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