Facial thermography for attention tracking on smart eyewear: An initial study

Benjamin Tag, Ryan Mannschreck, Kazunori Sugiura, George Chernyshov, Naohisa Ohta, Kai Steven Kunze

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

6 Citations (Scopus)

Abstract

We are describing the first step towards the development of an unobtrusive open eyewear system for attention tracking in daily life situations. We are logging thermographic data from infrared imaging and electrooculographic readings from off-the-shelf smart glasses and measure cognitive engagement of people in different situations. We are identifying new potential areas on the face for contactless IR temperature sensing. Attached to smart glasses and in combination with the EOG potentials we can monitor the wearer's facial temperature changes, eye movement and eye blink in everyday situations, which is a major step towards becoming able to measure attention in unconstrained settings, and thus make it manageable.

Original languageEnglish
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages2959-2966
Number of pages8
VolumePart F127655
ISBN (Electronic)9781450346566
DOIs
Publication statusPublished - 2017 May 6
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: 2017 May 62017 May 11

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
CountryUnited States
CityDenver
Period17/5/617/5/11

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Keywords

  • Attention
  • Electrooculography
  • Eyewear
  • Psychophysiology
  • Sensing
  • Thermography
  • Tracking

ASJC Scopus subject areas

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

Cite this

Tag, B., Mannschreck, R., Sugiura, K., Chernyshov, G., Ohta, N., & Kunze, K. S. (2017). Facial thermography for attention tracking on smart eyewear: An initial study. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (Vol. Part F127655, pp. 2959-2966). Association for Computing Machinery. https://doi.org/10.1145/3027063.3053243