NDLI: Classification of colour imagination tasks using spectral energy entropy

Content Provider	IEEE Xplore Digital Library
Author	Paulraj, M.P. Adom, A.H. Hema, C.R. Purushothaman, D.
Copyright Year	2011
Description	Author affiliation: School of Mechatronic Engineering, University of Malaysia Perlis, Ulu Pauh Permanent Campus, 02600 Arau, Malaysia (Paulraj, M.P.; Adom, A.H.; Purushothaman, D.) \|\| Karpagam University, Coimbatore, Tamil Nadu, India (Hema, C.R.)
Abstract	Electroencephalography (EEG) is the measure of brain waves used to monitor the health of the patient in medical applications and other research areas. EEG signals can also be used to develop a brain machine interface. Brain machine interface (BMI) is an interfacing system, helps to provide a communication and control technology for the mentally able people having neuromuscular disorders. In this paper, a simple BMI system based on EEG signal emanated while imagining of different colours has been proposed. The proposed BMI uses the color imagination tasks and aims to provide a communication link using brain activated control signal. Using this thought controlled signals, the required operation or task can be performed and the needs of the physically retarded community can be accomplished. From the recorded EEG signal of colour imagination tasks, the spectral analysis has been made and the alpha, beta and gamma band frequency spectrum features using energy entropy are obtained. The extracted feature set is then fed to the neural network model to classify the different tasks in BMI. Probabilistic neural network model has been developed and the classification results are analyzed in this paper.
Starting Page	165
Ending Page	168
File Size	695947
Page Count	4
File Format	PDF
ISBN	9781467300995
e-ISBN	9781467301022
DOI	10.1109/SCOReD.2011.6148728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Colour Imagination Tasks Accuracy Neural Network Image color analysis Brain Machine Interface Feature extraction Brain modeling Electroencephalography Entropy Biological neural networks
Content Type	Text
Resource Type	Article

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