A review on eye-tracking metrics for sleepiness
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...
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2020
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sg-smu-ink.sis_research-109742025-01-16T10:05:24Z A review on eye-tracking metrics for sleepiness ROY, Debasis NAH, Fiona Fui-hoon 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. 2020-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9974 info:doi/10.1007/978-3-030-60152-2 https://ink.library.smu.edu.sg/context/sis_research/article/10974/viewcontent/978_3_030_60152_2_47_pvoa.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Cognitive performance Sleep deprivation Sleepiness Eye tracking Blink Saccade Fixation Smooth pursuit Databases and Information Systems Graphics and Human Computer Interfaces |
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Cognitive performance Sleep deprivation Sleepiness Eye tracking Blink Saccade Fixation Smooth pursuit Databases and Information Systems Graphics and Human Computer Interfaces ROY, Debasis NAH, Fiona Fui-hoon A review on eye-tracking metrics for sleepiness |
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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. |
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text |
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ROY, Debasis NAH, Fiona Fui-hoon |
author_facet |
ROY, Debasis NAH, Fiona Fui-hoon |
author_sort |
ROY, Debasis |
title |
A review on eye-tracking metrics for sleepiness |
title_short |
A review on eye-tracking metrics for sleepiness |
title_full |
A review on eye-tracking metrics for sleepiness |
title_fullStr |
A review on eye-tracking metrics for sleepiness |
title_full_unstemmed |
A review on eye-tracking metrics for sleepiness |
title_sort |
review on eye-tracking metrics for sleepiness |
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Institutional Knowledge at Singapore Management University |
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2020 |
url |
https://ink.library.smu.edu.sg/sis_research/9974 https://ink.library.smu.edu.sg/context/sis_research/article/10974/viewcontent/978_3_030_60152_2_47_pvoa.pdf |
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