Lall, S. and Saha, A. and Konar, A. and Laha, M. and Ralescu, A. and Nagar, Atulya K. (2016) EEG-based Mind Driven Type Writer by Fuzzy Radial Basis Function Neural Classifier. In: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.
3. IJCNN-16935-EEG-based Mind Driven Type Writer by Fuzzy Radial Basis Function Neural Classifier.pdf
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EEG based vowel classification is currently gaining importance for its increasing applications in the next generation mind-driven type-writing. This paper addresses a novel approach to classify the mentally uttered alphabets in a specific three lettered format, where the first and the last letter represent two vowel sounds and the middle is a space, where no character is imagined. Such formatting helps recognizing 26 alphabets in English language using seven vowel sounds only. To eliminate the possible infiltration of noise by parallel thoughts we used a specialized neuro-fuzzy classifier, where the first layer of the classifiers realized with fuzzy logic eliminates the possible creeping of noise due to side active channel interference. Two models of fuzzy pre-processing are used. The first one is realized with type-1 fuzzy logic, whereas the second model is realized with interval type-2 fuzzy sets. The latter model can take care of both intra- and inter-personal level uncertainty in measurements. Experiments undertaken reveal that the proposed type-2 fuzzy classifier outperforms both type-1 and traditional neural classifiers by a significant margin.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information and Comments:||(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."|
|Keywords:||Vowel Classification, EEG, Fuzzy based Radial Basis Function, Perceptron Neuron Network, Principal Component Analysis.|
|Faculty / Department:||Faculty of Science > Mathematics and Computer Science|
|Depositing User:||Atulya Nagar|
|Date Deposited:||09 Jun 2016 11:44|
|Last Modified:||24 Nov 2016 12:07|
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