Biosignals as an Advanced Man-Machine Interface

Egon van den Broek, Viliam Lisy, Joyce H.D.M. Westerink, Marleen H. Schut, Kees Tuinenbreijer

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such an MMI requires the correct classification of biosignals to emotion classes. This paper explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 24 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31% correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for both personalized biosignal-profiles and the recording of multiple biosignals in parallel.
    Original languageUndefined
    Title of host publicationInternational Conference on Biomedical Electronics and Devices, Biodevices 2009
    EditorsT.F.B. Filho, H. Gamboa
    Place of PublicationPortugal
    PublisherINSTICC PRESS
    PagesIS15-IS24
    Number of pages10
    ISBN (Print)978-989-8111-64-7
    Publication statusPublished - 14 Jan 2009

    Publication series

    Name
    PublisherINSTICC Press

    Keywords

    • METIS-260137
    • IR-73174
    • Automatic classification
    • Man-Machine Interface
    • BioSignals
    • HMI-CI: Computational Intelligence
    • EWI-18407
    • psychophysiology
    • HMI-MI: MULTIMODAL INTERACTIONS
    • HMI-IE: Information Engineering
    • HMI-HF: Human Factors
    • Emotion

    Cite this

    van den Broek, E., Lisy, V., Westerink, J. H. D. M., Schut, M. H., & Tuinenbreijer, K. (2009). Biosignals as an Advanced Man-Machine Interface. In T. F. B. Filho, & H. Gamboa (Eds.), International Conference on Biomedical Electronics and Devices, Biodevices 2009 (pp. IS15-IS24). Portugal: INSTICC PRESS.
    van den Broek, Egon ; Lisy, Viliam ; Westerink, Joyce H.D.M. ; Schut, Marleen H. ; Tuinenbreijer, Kees. / Biosignals as an Advanced Man-Machine Interface. International Conference on Biomedical Electronics and Devices, Biodevices 2009. editor / T.F.B. Filho ; H. Gamboa. Portugal : INSTICC PRESS, 2009. pp. IS15-IS24
    @inproceedings{bdf17d24a2a74b66a736a8ece1e3fc70,
    title = "Biosignals as an Advanced Man-Machine Interface",
    abstract = "As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such an MMI requires the correct classification of biosignals to emotion classes. This paper explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 24 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31{\%} correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for both personalized biosignal-profiles and the recording of multiple biosignals in parallel.",
    keywords = "METIS-260137, IR-73174, Automatic classification, Man-Machine Interface, BioSignals, HMI-CI: Computational Intelligence, EWI-18407, psychophysiology, HMI-MI: MULTIMODAL INTERACTIONS, HMI-IE: Information Engineering, HMI-HF: Human Factors, Emotion",
    author = "{van den Broek}, Egon and Viliam Lisy and Westerink, {Joyce H.D.M.} and Schut, {Marleen H.} and Kees Tuinenbreijer",
    note = "This publication is related to a keynote shared by the three conferences of the 2nd International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2009). The article was published in the proceedings of all three conferences, i.e., Biodevices (this entry), but also in Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing 14 January 2009 and in: International Conference on Health Informatics, Healthinf 2009 14 January 2009",
    year = "2009",
    month = "1",
    day = "14",
    language = "Undefined",
    isbn = "978-989-8111-64-7",
    publisher = "INSTICC PRESS",
    pages = "IS15--IS24",
    editor = "T.F.B. Filho and H. Gamboa",
    booktitle = "International Conference on Biomedical Electronics and Devices, Biodevices 2009",

    }

    van den Broek, E, Lisy, V, Westerink, JHDM, Schut, MH & Tuinenbreijer, K 2009, Biosignals as an Advanced Man-Machine Interface. in TFB Filho & H Gamboa (eds), International Conference on Biomedical Electronics and Devices, Biodevices 2009. INSTICC PRESS, Portugal, pp. IS15-IS24.

    Biosignals as an Advanced Man-Machine Interface. / van den Broek, Egon; Lisy, Viliam; Westerink, Joyce H.D.M.; Schut, Marleen H.; Tuinenbreijer, Kees.

    International Conference on Biomedical Electronics and Devices, Biodevices 2009. ed. / T.F.B. Filho; H. Gamboa. Portugal : INSTICC PRESS, 2009. p. IS15-IS24.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - Biosignals as an Advanced Man-Machine Interface

    AU - van den Broek, Egon

    AU - Lisy, Viliam

    AU - Westerink, Joyce H.D.M.

    AU - Schut, Marleen H.

    AU - Tuinenbreijer, Kees

    N1 - This publication is related to a keynote shared by the three conferences of the 2nd International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2009). The article was published in the proceedings of all three conferences, i.e., Biodevices (this entry), but also in Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing 14 January 2009 and in: International Conference on Health Informatics, Healthinf 2009 14 January 2009

    PY - 2009/1/14

    Y1 - 2009/1/14

    N2 - As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such an MMI requires the correct classification of biosignals to emotion classes. This paper explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 24 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31% correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for both personalized biosignal-profiles and the recording of multiple biosignals in parallel.

    AB - As is known for centuries, humans exhibit an electrical profile. This profile is altered through various physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such an MMI requires the correct classification of biosignals to emotion classes. This paper explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 24 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31% correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for both personalized biosignal-profiles and the recording of multiple biosignals in parallel.

    KW - METIS-260137

    KW - IR-73174

    KW - Automatic classification

    KW - Man-Machine Interface

    KW - BioSignals

    KW - HMI-CI: Computational Intelligence

    KW - EWI-18407

    KW - psychophysiology

    KW - HMI-MI: MULTIMODAL INTERACTIONS

    KW - HMI-IE: Information Engineering

    KW - HMI-HF: Human Factors

    KW - Emotion

    M3 - Conference contribution

    SN - 978-989-8111-64-7

    SP - IS15-IS24

    BT - International Conference on Biomedical Electronics and Devices, Biodevices 2009

    A2 - Filho, T.F.B.

    A2 - Gamboa, H.

    PB - INSTICC PRESS

    CY - Portugal

    ER -

    van den Broek E, Lisy V, Westerink JHDM, Schut MH, Tuinenbreijer K. Biosignals as an Advanced Man-Machine Interface. In Filho TFB, Gamboa H, editors, International Conference on Biomedical Electronics and Devices, Biodevices 2009. Portugal: INSTICC PRESS. 2009. p. IS15-IS24