Unobtrusive Sensing of Emotions (USE)


Broek, Egon L. van den and Schut, Marleen H. and Westerink, Joyce H.D.M. and Tuinenbreijer, Kees (2009) Unobtrusive Sensing of Emotions (USE). Journal of Ambient Intelligence and Smart Environments, 1 (3). pp. 287-299. ISSN 1876-1364

[img] PDF
Restricted to UT campus only
: Request a copy
Abstract:Emotions are acknowledged as a crucial element for artificial intelligence; this is, as is illustrated, no different for Ambient Intelligence (AmI). Unobtrusive Sensing of Emotions (USE) is introduced to enrich AmI with empathic abilities. USE coins the combination of speech and the electrocardiogram (ECG) as a powerful and unique combination to unravel people's emotions. In a controlled study, 40 people watched film scenes, in either an office or a home-like setting. It is shown that, when people's gender is taken into account, both heart rate variability (derived from the ECG) and the standard deviation of the fundamental frequency of speech indicate people's experienced valence and arousal, in parallel. As such, both measures validate each other. Thus, through USE reliable cues can be derived that indicate the emotional state of people, in particular when also people's environment is taken into account. Since all this is crucial for both AI and true AmI, this study provides a first significant leap forward in making AmI a success.
Item Type:Article
Copyright:© 2009 IOS Press
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Official URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 260051