Brain signal based continuous authentication: Functional NIRS approach

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

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ171-180
    ページ数10
    7903 LNCS
    PART 2
    DOI
    出版ステータスPublished - 2013
    イベント12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Puerto de la Cruz, Tenerife
    継続期間: 2013 6 122013 6 14

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 2
    7903 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other12th International Work-Conference on Artificial Neural Networks, IWANN 2013
    CityPuerto de la Cruz, Tenerife
    Period13/6/1213/6/14

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 理論的コンピュータサイエンス

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