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Biometric verification using brain waves toward on-demand user management systems: performance differences between divided regions in α -- β wave band

Published: 26 November 2013 Publication History

Abstract

The use of brain waves as biometrics has been proposed. The brain wave is spontaneously occurring; therefore, it enables to transparently present biometric data, and makes on-demand authentication possible. User management is one of supposable and plausible applications in which the on-demand authentication is required, While using a system, users are authenticated on demand from the system. Assuming driver authentication, we have evaluated the verification performance of brain waves measured in simulated driving environments. In this paper, we divide α-β band to several sub-bands and evaluate verification performance in each sub-band. As a result, it is confirmed that each verification performance is quite different from other ones. This result may lead to some kind of knowledge about feasible frequency bands in the brain wave for person authentication.

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  1. Biometric verification using brain waves toward on-demand user management systems: performance differences between divided regions in α -- β wave band

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      cover image ACM Other conferences
      SIN '13: Proceedings of the 6th International Conference on Security of Information and Networks
      November 2013
      483 pages
      ISBN:9781450324984
      DOI:10.1145/2523514
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Macquarie U., Austarlia
      • MNIT: Malaviya National Institute of Technology
      • Aksaray Univ.: Aksaray University
      • SFedU: Southern Federal University

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 November 2013

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      Author Tags

      1. biometrics
      2. brain wave
      3. driver authentication
      4. route tracing
      5. separately partitioning of α -- β band
      6. simplified driving simulator
      7. simulated driving environments

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      • MNIT
      • Aksaray Univ.
      • SFedU

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      Overall Acceptance Rate 102 of 289 submissions, 35%

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      • (2023)Brainwave-based authentication using features fusionComputers and Security10.1016/j.cose.2023.103198129:COnline publication date: 1-Jun-2023
      • (2022)On-Demand Biometric Authentication for System-User ManagementHCI for Cybersecurity, Privacy and Trust10.1007/978-3-031-05563-8_16(241-254)Online publication date: 16-Jun-2022
      • (2019)A Survey on Brain BiometricsACM Computing Surveys10.1145/323063251:6(1-38)Online publication date: 27-Feb-2019
      • (2016)Unconscious Biometrics for Continuous User VerificationProceedings of the 8th International Conference on Signal Processing Systems10.1145/3015166.3015180(20-25)Online publication date: 21-Nov-2016

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