Motor imagery EEG-based person verification

Dat Tran, Xu Huang, Wanli Ma

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    11 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    We investigate in this paper the activity-dependent person verification method using electroencephalography (EEG) signal from a person performing motor imagery tasks. Two tasks were performed in our experiments were performed. In the first task, the same motor imagery task of left hand or right hand was applied to all persons. In the second task, only the best motor imagery task for each person was performed. The Gaussian mixture model (GMM) and support vector data description (SVDD) methods were used for modelling persons. Experimental results showed that lowest person verification error rate could be achieved when each person performed his/her best motor imagery task
    Original languageEnglish
    Title of host publicationInternational Work-Conference on Artificial Neural Networks
    Subtitle of host publicationAdvances in Computational Intelligence IWANN 2013
    EditorsIgnacio Rojas, Gonzalo Joya, Joan Gabestany
    Place of PublicationBerlin
    PublisherSpringer
    Pages430-438
    Number of pages9
    Volume2
    ISBN (Electronic)9783642386824
    ISBN (Print)9783642386817
    DOIs
    Publication statusPublished - 2013
    Event12th International Work-Conference on Artificial Neural Networks, IWANN 2013 - Tenerife, Tenerife, Spain
    Duration: 12 Jun 201314 Jun 2013

    Conference

    Conference12th International Work-Conference on Artificial Neural Networks, IWANN 2013
    Abbreviated titleIWANN 2013
    CountrySpain
    CityTenerife
    Period12/06/1314/06/13

    Fingerprint

    Electroencephalography
    Data description
    Experiments

    Cite this

    Tran, D., Huang, X., & Ma, W. (2013). Motor imagery EEG-based person verification. In I. Rojas, G. Joya, & J. Gabestany (Eds.), International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence IWANN 2013 (Vol. 2, pp. 430-438). Berlin: Springer. https://doi.org/10.1007/978-3-642-38682-4_46
    Tran, Dat ; Huang, Xu ; Ma, Wanli. / Motor imagery EEG-based person verification. International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence IWANN 2013. editor / Ignacio Rojas ; Gonzalo Joya ; Joan Gabestany. Vol. 2 Berlin : Springer, 2013. pp. 430-438
    @inproceedings{aff8d6ee656a43598ec17ccf427dac29,
    title = "Motor imagery EEG-based person verification",
    abstract = "We investigate in this paper the activity-dependent person verification method using electroencephalography (EEG) signal from a person performing motor imagery tasks. Two tasks were performed in our experiments were performed. In the first task, the same motor imagery task of left hand or right hand was applied to all persons. In the second task, only the best motor imagery task for each person was performed. The Gaussian mixture model (GMM) and support vector data description (SVDD) methods were used for modelling persons. Experimental results showed that lowest person verification error rate could be achieved when each person performed his/her best motor imagery task",
    keywords = "Brain Computer Interface, EEG, GMM, Person Brain Computer Interface, Person Verification, SVDD, motor",
    author = "Dat Tran and Xu Huang and Wanli Ma",
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    Tran, D, Huang, X & Ma, W 2013, Motor imagery EEG-based person verification. in I Rojas, G Joya & J Gabestany (eds), International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence IWANN 2013. vol. 2, Springer, Berlin, pp. 430-438, 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Tenerife, Spain, 12/06/13. https://doi.org/10.1007/978-3-642-38682-4_46

    Motor imagery EEG-based person verification. / Tran, Dat; Huang, Xu; Ma, Wanli.

    International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence IWANN 2013. ed. / Ignacio Rojas; Gonzalo Joya; Joan Gabestany. Vol. 2 Berlin : Springer, 2013. p. 430-438.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Motor imagery EEG-based person verification

    AU - Tran, Dat

    AU - Huang, Xu

    AU - Ma, Wanli

    PY - 2013

    Y1 - 2013

    N2 - We investigate in this paper the activity-dependent person verification method using electroencephalography (EEG) signal from a person performing motor imagery tasks. Two tasks were performed in our experiments were performed. In the first task, the same motor imagery task of left hand or right hand was applied to all persons. In the second task, only the best motor imagery task for each person was performed. The Gaussian mixture model (GMM) and support vector data description (SVDD) methods were used for modelling persons. Experimental results showed that lowest person verification error rate could be achieved when each person performed his/her best motor imagery task

    AB - We investigate in this paper the activity-dependent person verification method using electroencephalography (EEG) signal from a person performing motor imagery tasks. Two tasks were performed in our experiments were performed. In the first task, the same motor imagery task of left hand or right hand was applied to all persons. In the second task, only the best motor imagery task for each person was performed. The Gaussian mixture model (GMM) and support vector data description (SVDD) methods were used for modelling persons. Experimental results showed that lowest person verification error rate could be achieved when each person performed his/her best motor imagery task

    KW - Brain Computer Interface

    KW - EEG

    KW - GMM

    KW - Person Brain Computer Interface

    KW - Person Verification

    KW - SVDD

    KW - motor

    U2 - 10.1007/978-3-642-38682-4_46

    DO - 10.1007/978-3-642-38682-4_46

    M3 - Conference contribution

    SN - 9783642386817

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    EP - 438

    BT - International Work-Conference on Artificial Neural Networks

    A2 - Rojas, Ignacio

    A2 - Joya, Gonzalo

    A2 - Gabestany, Joan

    PB - Springer

    CY - Berlin

    ER -

    Tran D, Huang X, Ma W. Motor imagery EEG-based person verification. In Rojas I, Joya G, Gabestany J, editors, International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence IWANN 2013. Vol. 2. Berlin: Springer. 2013. p. 430-438 https://doi.org/10.1007/978-3-642-38682-4_46