Affective Man-Machine Interface: Unveiling Human Emotions through Biosignals

  • Egon L. van den Broek
  • Viliam Lisý
  • Joris H. Janssen
  • Joyce H. D. M. Westerink
  • Marleen H. Schut
  • Kees Tuinenbreijer
Part of the Communications in Computer and Information Science book series (CCIS, volume 52)


As is known for centuries, humans exhibit an electrical profile. This profile  is  altered  through various  psychological  and  physiological proce-sses, 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 a MMI requires the correct classification of biosignals to emotion classes. This chapter starts with an introduction on biosignals for emotion detection. Next, a state-of-the-art review is presented on automatic emotion classification. Moreover, guidelines are presented for affective MMI. Subsequently, a research is presented that explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 21 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 parallel processing of multiple biosignals.


Support Vector Machine Heart Rate Variability Emotion Recognition Respiratory Sinus Arrhythmia Emotion Category 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Egon L. van den Broek
    • 1
  • Viliam Lisý
    • 2
  • Joris H. Janssen
    • 3
    • 4
  • Joyce H. D. M. Westerink
    • 3
  • Marleen H. Schut
    • 5
  • Kees Tuinenbreijer
    • 5
  1. 1.Center for Telematics and Information Technology (CTIT)University of TwenteAE EnschedeThe Netherlands
  2. 2.Agent Technology Center, Dept. of Cybernetics, FEECzech Technical UniversityPraha 6Czech Republic
  3. 3.User Experience GroupPhilips ResearchAE EindhovenThe Netherlands
  4. 4.Dept. of Human Technology InteractionEindhoven University of TechnologyEindhovenThe Netherlands
  5. 5.Philips Consumer Lifestyle Advanced TechnologyAE EindhovenThe Netherlands

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