Biosignals as an Advanced Man-Machine Interface.

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

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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 publicationHealthinf 2009: Proceedings of the International Conference of Health Informatics
    EditorsL. Azevedo, A.R. Londral
    Place of PublicationPorto
    PublisherINSTICC PRESS
    PagesIS15-IS24
    ISBN (Print)9789898111630
    Publication statusPublished - 14 Jan 2009

    Publication series

    Name
    PublisherINSTICC Press

    Keywords

    • Emotion
    • METIS-260138
    • psychophysiology
    • IR-73175
    • Man-Machine Interface
    • BioSignals
    • Automatic classification

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