Stresscam: Non-contact measurement of users' emotional states through thermal imaging

Colin Puri*, Leslie Olson, Ioannis Pavlidis, James Levine, Justin Starren

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

97 Scopus citations

Abstract

We present a novel methodology for monitoring the affective states of computer users. The method is based on thermal imaging of the face. To the user, the imaging system appears much like a video-conferencing camera. The method does not require contact with the subject and is passive; therefore, monitoring can be continuous and transparent to the computer user. We have found that user stress is correlated with increased blood flow in the frontal vessel of the forehead. This increased blood flow dissipates convective heat, which can be monitored through thermal imaging. The system has been evaluated on 12 subjects, and compared against real-time measurements of Energy Expenditure (EE). The new method is highly correlated with the established, but awkward EE methodology. The StressCam methodology is applicable to many instances where the real time measurement of users' emotional state is needed.

Original languageEnglish (US)
Title of host publicationCHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05
Pages1725-1728
Number of pages4
DOIs
StatePublished - Dec 1 2005
EventConference on Human Factors in Computing Systems, CHI EA 2005 - Portland, OR, United States
Duration: Apr 2 2005Apr 7 2005

Other

OtherConference on Human Factors in Computing Systems, CHI EA 2005
CountryUnited States
CityPortland, OR
Period4/2/054/7/05

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Keywords

  • Human-Computer Interaction
  • Thermal imaging
  • User frustration

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Cite this

Puri, C., Olson, L., Pavlidis, I., Levine, J., & Starren, J. (2005). Stresscam: Non-contact measurement of users' emotional states through thermal imaging. In CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05 (pp. 1725-1728) https://doi.org/10.1145/1056808.1057007