A review on eye-tracking metrics for sleepiness

Author

Debasis ROY
Fiona Fui-hoon NAH, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2020

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.

Keywords

Cognitive performance, Sleep deprivation, Sleepiness, Eye tracking, Blink, Saccade, Fixation, Smooth pursuit

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces

Research Areas

Data Science and Engineering

Publication

HCI International 2020: Late breaking papers: Interaction, knowledge and social media, 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24: Proceedings

Volume

12427

First Page

630

Last Page

640

Identifier

10.1007/978-3-030-60152-2

Publisher

Springer

City or Country

Cham

Citation

ROY, Debasis and NAH, Fiona Fui-hoon. A review on eye-tracking metrics for sleepiness. (2020). HCI International 2020: Late breaking papers: Interaction, knowledge and social media, 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24: Proceedings. 12427, 630-640.
Available at: https://ink.library.smu.edu.sg/sis_research/9974

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1007/978-3-030-60152-2_47