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Classification of alcohol abusers: An intelligent approach

Kanna, P.S., Palaniappan, Ramaswamy, Ravi, K.V.R. (2005) Classification of alcohol abusers: An intelligent approach. In: Third International Conference on Information Technology and Applications (ICITA'05). I. pp. 470-474. IEEE ISBN 978-0-7695-2316-3. (doi:10.1109/ICITA.2005.95) (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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Official URL
http://dx.doi.org/10.1109/ICITA.2005.95

Abstract

In this paper we propose a novel method to classify alcohol abusers. The method described efficiently estimated total power in gamma band spectral power (GBSP) of multi-channel visual evoked potential (VEP) signals in the time domain, circumventing power spectrum computation. Then, the total power extracted are used as features to classify alcohol abusers from control subjects using Multilayer Perceptron -Back Propagation (MLP-BP) neural network classifier. As a comparison study the total power using GBSP feature extraction is repeated for four types of Infinite Impluse Response (IIR) filters. Experimental study is conducted with 20 subjects totaling 800 VEP signals, which are extracted while subjects are seeing pictures from Snodgrass and V anderwart set. Maximum classification of 91% is obtained for Elliptic filter for 20 hidden units. Also Elliptic filter shows the best performance for the averaged values of all the filters and it also has the lower order when compared to other filters.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICITA.2005.95
Additional information: Unmapped bibliographic data: C7 - 1488850 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Proc. Int. Conf. Info. Technol. Applic. [Field not mapped to EPrints] AD - Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia [Field not mapped to EPrints] AD - Department of Computer Science, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - IEEE NSW Section; UT, Faculty of Info. Technol., Sydney, Australia; UT, Inst. for Info. and Commun. Technol., Sydney, Australia [Field not mapped to EPrints] C3 - Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005 [Field not mapped to EPrints]
Uncontrolled keywords: Artificial intelligence, Backpropagation, Multilayer neural networks, Parameter estimation, Time domain analysis, Wave filters, Alcohol abusers, Gamma band spectral power (GBSP), Infinite Impluse Response (IIR) filters, Visual evoked potential (VEP), Behavioral research
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 12:04 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70746 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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