@inproceedings{33667cca8af540d0aec1d02968b89329,
title = "Facial thermography for attention tracking on smart eyewear: An initial study",
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.",
keywords = "Attention, Electrooculography, Eyewear, Psychophysiology, Sensing, Thermography, Tracking",
author = "Benjamin Tag and Ryan Mannschreck and Kazunori Sugiura and George Chernyshov and Naohisa Ohta and Kai Kunze",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by the Association for Computing Machinery, Inc. (ACM). Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 ; Conference date: 06-05-2017 Through 11-05-2017",
year = "2017",
month = may,
day = "6",
doi = "10.1145/3027063.3053243",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "2959--2966",
booktitle = "CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems",
}