Biosignals as an Advanced Man-Machine Interface

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

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Editors	T.F.B. Filho, H. Gamboa
Place of Publication	Porto
Publisher	INSTICC PRESS
Pages	IS15-IS24
Number of pages	10
ISBN (Print)	978-989-8111-64-7
Publication status	Published - 14 Jan 2009
Event	International Conference on Biomedical Electronics and Devices, Biodevices 2009 - Porto, Portugal Duration: 14 Jan 2009 → 17 Jan 2009

Conference

Conference	International Conference on Biomedical Electronics and Devices, Biodevices 2009
Period	14/01/09 → 17/01/09
Other	14-17 Jan 2009

Keywords

Emotion
BioSignals
Automatic classification
Man-machine interfaces
Psychophysiology
HMI-CI: Computational Intelligence
HMI-MI: MULTIMODAL INTERACTIONS
HMI-IE: Information Engineering
HMI-HF: Human Factors

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Biosignals as an Advanced Man-Machine Interface.
van den Broek, E., Lisy, V., Westerink, J. H. D. M., Schut, M. H. & Tuinenbreijer, K., 14 Jan 2009, Healthinf 2009: Proceedings of the International Conference of Health Informatics. Azevedo, L. & Londral, A. R. (eds.). Porto: INSTICC PRESS, p. IS15-IS24
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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@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 = "Emotion, BioSignals, Automatic classification, Man-machine interfaces, Psychophysiology, HMI-CI: Computational Intelligence, HMI-MI: MULTIMODAL INTERACTIONS, HMI-IE: Information Engineering, HMI-HF: Human Factors",

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; International Conference on Biomedical Electronics and Devices, Biodevices 2009 ; Conference date: 14-01-2009 Through 17-01-2009",

year = "2009",

month = jan,

day = "14",

language = "English",

isbn = "978-989-8111-64-7",

pages = "IS15--IS24",

editor = "T.F.B. Filho and H. Gamboa",

booktitle = "Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing",

publisher = "INSTICC PRESS",

}

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), Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing. INSTICC PRESS, Porto, pp. IS15-IS24, International Conference on Biomedical Electronics and Devices, Biodevices 2009, 14/01/09.

Biosignals as an Advanced Man-Machine Interface. / van den Broek, Egon; Lisy, Viliam; Westerink, Joyce H.D.M. et al.

Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing. ed. / T.F.B. Filho; H. Gamboa. Porto : INSTICC PRESS, 2009. p. IS15-IS24.

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

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 - Emotion

KW - BioSignals

KW - Automatic classification

KW - Man-machine interfaces

KW - Psychophysiology

KW - HMI-CI: Computational Intelligence

KW - HMI-MI: MULTIMODAL INTERACTIONS

KW - HMI-IE: Information Engineering

KW - HMI-HF: Human Factors

M3 - Conference contribution

SN - 978-989-8111-64-7

SP - IS15-IS24

BT - Biosignals 2009: Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

A2 - Filho, T.F.B.

A2 - Gamboa, H.

PB - INSTICC PRESS

CY - Porto

T2 - International Conference on Biomedical Electronics and Devices, Biodevices 2009

Y2 - 14 January 2009 through 17 January 2009

ER -

Biosignals as an Advanced Man-Machine Interface

Abstract

Conference

Keywords

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Research output

Biosignals as an Advanced Man-Machine Interface.

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