Computer Screen Use Detection Using Smart Eyeglasses

Publication Type Journal Article
Authors Florian Wahl, Jakob Kasbauer, Oliver Amft
Title Computer Screen Use Detection Using Smart Eyeglasses
Abstract Screen use can influence the circadian phase and cause eye strain. Smart eyeglasses with an integrated colour light sensor can detect screen use. We present a screen use detection approach based on a light sensor embedded into the bridge of smart eyeglasses. By calculating the light intensity at the user’s eyes for different screens and content types we found only computer screens to have significant impact on the circadian phase. Our screen use detection is based on ratios between colour channels and used a linear support vector machine to detect screen use. We validated our detection approach in three studies. A Test bench was built to detect screen use under different ambient light sources and intensities in a controlled environment. In a Lab study, we evaluated recognition performance for different ambient light intensities. Using participant-independent models we achieved a ROC AUC above 0.9 for ambient light intensities below 200 lux. In a study of typical ADLs screen use was detected with an average ROC AUC of 0.83 assuming screen use for 30 % of the time.
Publication Frontiers in ICT
Volume 4
Date 2017
Journal Abbr Front. ICT
Language English
DOI 10.3389/fict.2017.00008
ISSN 2297-198X
URL Publisher's website
Accessed 2017-05-12T07:34:09Z
Library Catalog Frontiers
Full Text PDF
Friedrich-Alexander-Universität Erlangen-Nürnberg