Skip to main content

Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals


We discuss the strong relationship between affect and cognition and the importance of emotions in multimodal human computer interaction (HCI) and user modeling. We introduce the overall paradigm for our multimodal system that aims at recognizing its users' emotions and at responding to them accordingly depending upon the current context or application. We then describe the design of the emotion elicitation experiment we conducted by collecting, via wearable computers, physiological signals from the autonomic nervous system (galvanic skin response, heart rate, temperature) and mapping them to certain emotions (sadness, anger, fear, surprise, frustration, and amusement). We show the results of three different supervised learning algorithms that categorize these collected signals in terms of emotions, and generalize their learning to recognize emotions from new collections of signals. We finally discuss possible broader impact and potential applications of emotion recognition for multimodal intelligent systems.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Christine Lætitia Lisetti.

Rights and permissions

This article is published under an open access license. Please check the 'Copyright Information' section either on this page or in the PDF for details of this license and what re-use is permitted. If your intended use exceeds what is permitted by the license or if you are unable to locate the licence and re-use information, please contact the Rights and Permissions team.

About this article

Cite this article

Lisetti, C.L., Nasoz, F. Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals. EURASIP J. Adv. Signal Process. 2004, 929414 (2004).

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI:

Keywords and phrases

  • multimodal human-computer interaction
  • emotion recognition
  • multimodal affective user interfaces