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A new brain-computer interface design using fuzzy ARTMAP

Palaniappan, Ramaswamy, Paramesran, R., Nishida, S., Saiwaki, N. (2002) A new brain-computer interface design using fuzzy ARTMAP. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10 (3). pp. 140-148. ISSN 1534-4320. (doi:10.1109/TNSRE.2002.802854) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:70763)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA) neural network, as well as an application of the design. The objective of this BCI-FA design is to classify the best three of the five available mental tasks for each subject using power spectral density (PSD) values of electroencephalogram (EEG) signals. These PSD values are extracted using the Wiener-Khinchine and autoregressive methods. Ten experiments employing different triplets of mental tasks are studied for each subject. The findings show that the average BCI-FA outputs for four subjects gave less than 6% of error using the best triplets of mental tasks identified from the classification performances of FA. This implies that the BCI-FA can be successfully used with a tri-state switching device. As an application, a proposed tri-state Morse code scheme could be utilized to translate the outputs of this BCI-FA design into English letters. In this scheme, the three BCI-FA outputs correspond to a dot and a dash, which are the two basic Morse code alphabets and a space to denote the end (or beginning) of a dot or a dash. The construction of English letters using this tri-state Morse code scheme is determined only by the sequence of mental tasks and is independent of the time duration of each mental task. This is especially useful for constructing letters that are represented as multiple dots or dashes. This combination of BCI-FA design and the tri-state Morse code scheme could be developed as a communication system for paralyzed patients.

Item Type: Article
DOI/Identification number: 10.1109/TNSRE.2002.802854
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - IEEE Trans. Neural Syst. Rehabil. Eng. [Field not mapped to EPrints] C2 - 12503778 [Field not mapped to EPrints] AD - Fac. of Info. Science and Technology, Multimedia University, 75450 Melaka, Malaysia [Field not mapped to EPrints] AD - Department of Telecommunication, Engineering Faculty, University of Malaya, 50603 Kuala Lumpur, Malaysia [Field not mapped to EPrints] AD - Department of Human Science, Grad. School of Engineering Science, Osaka University, Osaka 560-8531, Japan [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Article [Field not mapped to EPrints]
Uncontrolled keywords: Assistive technology, Brain-computer interface (BCI), EEG, Fuzzy ARTMAP (FA), Paralyzed patients, Spectral analysis, Tri-state Morse code, Brain, Electroencephalography, Fuzzy sets, Neural networks, Interface design, Interfaces (computer), adult, article, artificial neural network, brain, computer interface, computer program, data analysis, electroencephalogram, human, human experiment, interpersonal communication, mental task, paralysis, power spectrum, priority journal, technology, Brain, Brain Mapping, Communication Aids for Disabled, Electroencephalography, Fuzzy Logic, Humans, Mental Processes, Neural Networks (Computer), Pattern Recognition, Automated, Signal Processing, Computer-Assisted, User-Computer Interface
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 20:51 UTC
Last Modified: 16 Nov 2021 10:25 UTC
Resource URI: (The current URI for this page, for reference purposes)

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Palaniappan, Ramaswamy.

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