Brain signal based continuous authentication: Functional NIRS approach

Michitaro Shozawa; Ryota Yokote; Seira Hidano; Chi Hua Wu; Yasuo Matsuyama

doi:10.1007/978-3-642-38682-4_20

Brain signal based continuous authentication: Functional NIRS approach

Michitaro Shozawa, Ryota Yokote, Seira Hidano, Chi Hua Wu, Yasuo Matsuyama

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

2 Citations (Scopus)

Abstract

A new approach to continuous authentication is presented. The method is based on a combination of statistical decision machines for brain signals. Functional Near InfraRed Spectroscopy (NIRS) is used to measure brain oxyhemoglobin changes for each subject to be authenticated. Such biosignal authentication is expected to be a viable complementary method to traditional static security systems. The designed system is based on a discriminant function which utilizes the average weight vector of one-versus-one support vector machines for NIRS spectra. By computing a histogram of Mahalanobis distances, high separability among subjects was recognized. This experimental result guarantees the utility of brain NIRS signals to the continuous authentication.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	171-180
Number of pages	10
Volume	7903 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-38682-4_20
Publication status	Published - 2013
Event	12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Puerto de la Cruz, Tenerife Duration: 2013 Jun 12 → 2013 Jun 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7903 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	12th International Work-Conference on Artificial Neural Networks, IWANN 2013
City	Puerto de la Cruz, Tenerife
Period	13/6/12 → 13/6/14

Keywords

brain activities
Continuous authentication
NIRS
SVM

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-38682-4_20

Cite this

Shozawa, M., Yokote, R., Hidano, S., Wu, C. H., & Matsuyama, Y. (2013). Brain signal based continuous authentication: Functional NIRS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 7903 LNCS, pp. 171-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7903 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-38682-4_20

Brain signal based continuous authentication : Functional NIRS approach. / Shozawa, Michitaro; Yokote, Ryota; Hidano, Seira et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7903 LNCS PART 2. ed. 2013. p. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7903 LNCS, No. PART 2).

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

Shozawa, M, Yokote, R, Hidano, S, Wu, CH & Matsuyama, Y 2013, Brain signal based continuous authentication: Functional NIRS approach. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 7903 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7903 LNCS, pp. 171-180, 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, 13/6/12. https://doi.org/10.1007/978-3-642-38682-4_20

Shozawa M, Yokote R, Hidano S, Wu CH, Matsuyama Y. Brain signal based continuous authentication: Functional NIRS approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7903 LNCS. 2013. p. 171-180. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-38682-4_20

Shozawa, Michitaro ; Yokote, Ryota ; Hidano, Seira et al. / Brain signal based continuous authentication : Functional NIRS approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7903 LNCS PART 2. ed. 2013. pp. 171-180 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Brain signal based continuous authentication: Functional NIRS approach

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