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PIN generation using single channel EEG biometric

Palaniappan, Ramaswamy and Gosalia, J. and Revett, K. and Samraj, A. (2011) PIN generation using single channel EEG biometric. In: Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science . Springer, pp. 378-385. ISBN 978-3-642-22725-7. (doi:10.1007/978-3-642-22726-4_40) (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
https://doi.org/10.1007/978-3-642-22726-4_40

Abstract

This paper investigates a method to generate personal identification number (PIN) using brain activity recorded from a single active electroencephalogram (EEG) channel. EEG based biometric to generate PIN is less prone to fraud and the method is based on the recent developments in brain-computer interface (BCI) technology, specifically P300 based BCI designs. Our perfect classification accuracies from three subjects indicate promise for generating PIN using thought activity measured from a single channel.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-642-22726-4_40
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Commun. Comput. Info. Sci. [Field not mapped to EPrints] AD - School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] AD - Toumaz Technology Limited, Abingdon, United Kingdom [Field not mapped to EPrints] AD - Faculty of Informatics and Computer Science, British University of Egypt, Cairo, Egypt [Field not mapped to EPrints] AD - Vellore Institute of Technology University, Chennai Campus, Chennai, 600 048, India [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] C3 - Communications in Computer and Information Science [Field not mapped to EPrints]
Uncontrolled keywords: Biometrics, Brain computer interface, Electroencephalogram, Information transfer rate, Neural networks, Brain activity, Classification accuracy, Electroencephalogram, Information transfer rate, Personal identification number, Single channels, Biometrics, Brain, Computer crime, Electroencephalography, Interfaces (computer), Neural networks, Brain computer interface
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 18:50 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70705 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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