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Identifying individuality using mental task based brain computer interface

Palaniappan, Ramaswamy (2005) Identifying individuality using mental task based brain computer interface. In: Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing, 13-17 Dec 2005, Bangalore, India. (doi:10.1109/ICISIP.2005.1619442) (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)

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. (Contact us about this Publication)
Official URL
10.1109/ICISIP.2005.1619442

Abstract

In recent years, numerous Brain Computer Interface (BCI) technologies have been developed to assist the disabled. In this paper, mental task based BCI is proposed for a different purpose: to identify the individuality of a person. The idea is based on the classification of electroencephalogram (EEG) signals recorded when a user thinks of either one or two mental tasks. As different individuals have different thought processes, this idea would be appropriate for individual identification. To increase the inter-subject differences, EEG data from six electrodes are used instead of one. Sixth order autoregressive features are computed from EEG signals and classified by Linear Discriminant classifier using a modified 10 fold cross validation procedure, which gave an average error of 0.95% when tested on 400 EEG patterns from four subjects. Though the method would have to undergo further development to obtain repeatable good accuracy; this initial study has shown the huge potential of the method over existing biometric identification systems as it is impossible to be faked.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ICISIP.2005.1619442
Additional information: Unmapped bibliographic data: JO - null [Field not mapped to EPrints]
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 17 Dec 2018 04:45 UTC
Last Modified: 30 May 2019 08:36 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/71148 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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