A Review on Eye-Tracking Metrics for Sleepiness
Abstract
Sleepiness that can arise from sleep deprivation can increase human errors in task performance and create workplace hazards and accidents. Hence, it is critical to detect sleepiness to minimize hazards and human errors. This paper provides a review of the literature on eye tracking metrics that can be used to detect sleepiness. These metrics include blink duration, blink frequency, saccade latency, saccade peak velocity, saccade accuracy, smooth pursuit velocity gain, fixation rate, pupil size, and latency to pupil constriction.
Recommended Citation
Roy, D., & Nah, F. F. (2020). A Review on Eye-Tracking Metrics for Sleepiness. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12427 LNCS, pp. 630-640. Springer-Verlag.
The definitive version is available at https://doi.org/10.1007/978-3-030-60152-2_47
Meeting Name
HCI International 2020 (2020: Jul. 19-24, Virtual)
Department(s)
Business and Information Technology
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Blink; Cognitive Performance; Eye Tracking; Fixation; Saccade; Sleep Deprivation; Sleepiness; Smooth Pursuit
International Standard Book Number (ISBN)
978-303060151-5
International Standard Serial Number (ISSN)
0302-9743; 1611-3349
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Springer-Verlag, All rights reserved.
Publication Date
24 Jul 2020
