Brainwaves as authentication method: Proving feasibility under two different approaches

Maria V.Ruiz Blondet; Negin Khalifian; Kenneth J. Kurtz; Sarah Laszlo; Zhanpeng Jin

doi:10.1109/NEBEC.2014.6972734

Brainwaves as authentication method: Proving feasibility under two different approaches

Maria V.Ruiz Blondet
, Negin Khalifian
, Kenneth J. Kurtz
, Sarah Laszlo
, Zhanpeng Jin

Binghamton University, University at Buffalo

State University of New York Binghamton University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Acquisition of EEG is becoming more and more affordable, and relatively high-quality signals are now digitizable even with consumer-grade hardware. The improvement in EEG hardware opens many possibilities for its applied usage. In this paper we explore the possibility of using the EEG as an secure authentication method. To achieve this goal, we process the EEG under two different methods: Cross-correlation and Divergent Autoencoding. The first method being a traditional approach to compare the similarity between two signals, and the second a classification tool originally developed to simulate aspects of human intelligence in the domain of cognitive psychology, but with potentially interesting applications in engineering.

Original language	English
Title of host publication	Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479937288
DOIs	https://doi.org/10.1109/NEBEC.2014.6972734
State	Published - Dec 2 2014
Event	2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014 - Boston, United States Duration: Apr 25 2014 → Apr 27 2014

Publication series

Name	Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume	2014-December

Conference

Conference	2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014
Country/Territory	United States
City	Boston
Period	04/25/14 → 04/27/14

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10.1109/NEBEC.2014.6972734

Cite this

Blondet, M. V. R., Khalifian, N., Kurtz, K. J., Laszlo, S., & Jin, Z. (2014). Brainwaves as authentication method: Proving feasibility under two different approaches. In Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014 Article 6972734 (Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC; Vol. 2014-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEBEC.2014.6972734

Blondet, Maria V.Ruiz ; Khalifian, Negin ; Kurtz, Kenneth J. et al. / Brainwaves as authentication method : Proving feasibility under two different approaches. Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC).

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title = "Brainwaves as authentication method: Proving feasibility under two different approaches",

abstract = "Acquisition of EEG is becoming more and more affordable, and relatively high-quality signals are now digitizable even with consumer-grade hardware. The improvement in EEG hardware opens many possibilities for its applied usage. In this paper we explore the possibility of using the EEG as an secure authentication method. To achieve this goal, we process the EEG under two different methods: Cross-correlation and Divergent Autoencoding. The first method being a traditional approach to compare the similarity between two signals, and the second a classification tool originally developed to simulate aspects of human intelligence in the domain of cognitive psychology, but with potentially interesting applications in engineering.",

author = "Blondet, \{Maria V.Ruiz\} and Negin Khalifian and Kurtz, \{Kenneth J.\} and Sarah Laszlo and Zhanpeng Jin",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014 ; Conference date: 25-04-2014 Through 27-04-2014",

year = "2014",

month = dec,

day = "2",

doi = "10.1109/NEBEC.2014.6972734",

language = "English",

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Blondet, MVR, Khalifian, N, Kurtz, KJ, Laszlo, S & Jin, Z 2014, Brainwaves as authentication method: Proving feasibility under two different approaches. in Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014., 6972734, Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC, vol. 2014-December, Institute of Electrical and Electronics Engineers Inc., 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014, Boston, United States, 04/25/14. https://doi.org/10.1109/NEBEC.2014.6972734

Brainwaves as authentication method: Proving feasibility under two different approaches. / Blondet, Maria V.Ruiz; Khalifian, Negin; Kurtz, Kenneth J. et al.
Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6972734 (Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC; Vol. 2014-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Brainwaves as authentication method

T2 - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014

AU - Blondet, Maria V.Ruiz

AU - Khalifian, Negin

AU - Kurtz, Kenneth J.

AU - Laszlo, Sarah

AU - Jin, Zhanpeng

PY - 2014/12/2

Y1 - 2014/12/2

N2 - Acquisition of EEG is becoming more and more affordable, and relatively high-quality signals are now digitizable even with consumer-grade hardware. The improvement in EEG hardware opens many possibilities for its applied usage. In this paper we explore the possibility of using the EEG as an secure authentication method. To achieve this goal, we process the EEG under two different methods: Cross-correlation and Divergent Autoencoding. The first method being a traditional approach to compare the similarity between two signals, and the second a classification tool originally developed to simulate aspects of human intelligence in the domain of cognitive psychology, but with potentially interesting applications in engineering.

AB - Acquisition of EEG is becoming more and more affordable, and relatively high-quality signals are now digitizable even with consumer-grade hardware. The improvement in EEG hardware opens many possibilities for its applied usage. In this paper we explore the possibility of using the EEG as an secure authentication method. To achieve this goal, we process the EEG under two different methods: Cross-correlation and Divergent Autoencoding. The first method being a traditional approach to compare the similarity between two signals, and the second a classification tool originally developed to simulate aspects of human intelligence in the domain of cognitive psychology, but with potentially interesting applications in engineering.

UR - https://www.scopus.com/pages/publications/84940706830

U2 - 10.1109/NEBEC.2014.6972734

DO - 10.1109/NEBEC.2014.6972734

M3 - Conference contribution

T3 - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

BT - Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 April 2014 through 27 April 2014

ER -

Blondet MVR, Khalifian N, Kurtz KJ, Laszlo S, Jin Z. Brainwaves as authentication method: Proving feasibility under two different approaches. In Proceedings - 2014 40th Annual Northeast Bioengineering Conference, NEBEC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6972734. (Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC). doi: 10.1109/NEBEC.2014.6972734

Brainwaves as authentication method: Proving feasibility under two different approaches

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