Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild

Benjamin Tag; Andrew W. Vargo; Aman Gupta; George Chernyshov; Kai Kunze; Tilman Dingler

doi:10.1145/3290605.3300694

Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild

Benjamin Tag, Andrew W. Vargo, Aman Gupta, George Chernyshov, Kai Kunze, Tilman Dingler

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

49 Citations (Scopus)

Abstract

As the day progresses, cognitive functions are subject to fluctuations. While the circadian process results in diurnal peaks and drops, the homeostatic process manifests itself in a steady decline of alertness across the day. Awareness of these changes allows the design of proactive recommender and warning systems, which encourage demanding tasks during periods of high alertness and flag accident-prone activities in low alertness states. In contrast to conventional alertness assessments, which are often limited to lab conditions, bulky hardware, or interruptive self-assessments, we base our approach on eye blink frequency data known to directly relate to fatigue levels. Using electrooculography sensors integrated into regular glasses’ frames, we recorded the eye movements of 16 participants over the course of two weeks in-the-wild and built a robust model of diurnal alertness changes. Our proposed method allows for unobtrusive and continuous monitoring of alertness levels throughout the day.

Original language	English
Title of host publication	Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Editors	Anna Cox, Vassilis Kostakos
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	12
ISBN (Electronic)	9781450359702
DOIs	https://doi.org/10.1145/3290605.3300694
Publication status	Published - 2019
Externally published	Yes
Event	International Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 Conference number: 37th https://chi2019.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3290605 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2019
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3290605 (Proceedings)

Keywords

Circadian computing
Cognition-aware systems
Electrooculography
Eye blink
Fatigue

Access to Document

10.1145/3290605.3300694

Cite this

Tag, B., Vargo, A. W., Gupta, A., Chernyshov, G., Kunze, K., & Dingler, T. (2019). Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild. In A. Cox, & V. Kostakos (Eds.), Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Article 464 Association for Computing Machinery (ACM). https://doi.org/10.1145/3290605.3300694

@inproceedings{596947320e954fef9907e03f397ac88f,

title = "Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild",

abstract = "As the day progresses, cognitive functions are subject to fluctuations. While the circadian process results in diurnal peaks and drops, the homeostatic process manifests itself in a steady decline of alertness across the day. Awareness of these changes allows the design of proactive recommender and warning systems, which encourage demanding tasks during periods of high alertness and flag accident-prone activities in low alertness states. In contrast to conventional alertness assessments, which are often limited to lab conditions, bulky hardware, or interruptive self-assessments, we base our approach on eye blink frequency data known to directly relate to fatigue levels. Using electrooculography sensors integrated into regular glasses{\textquoteright} frames, we recorded the eye movements of 16 participants over the course of two weeks in-the-wild and built a robust model of diurnal alertness changes. Our proposed method allows for unobtrusive and continuous monitoring of alertness levels throughout the day.",

keywords = "Circadian computing, Cognition-aware systems, Electrooculography, Eye blink, Fatigue",

author = "Benjamin Tag and Vargo, {Andrew W.} and Aman Gupta and George Chernyshov and Kai Kunze and Tilman Dingler",

note = "Funding Information: We would like to thank all participants of our study. We further would like to thank Shoya Ishimaru from the University of Kaiserslautern and DFKI Kaiserslautern for his support and advice on eye blink detection. This research was supported by JST (Sakigake/Presto), Grant No: JP-MJPR16D4. Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s).; International Conference on Human Factors in Computing Systems 2019, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

year = "2019",

doi = "10.1145/3290605.3300694",

language = "English",

editor = "Anna Cox and Vassilis Kostakos",

booktitle = "Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://chi2019.acm.org, https://dl.acm.org/doi/proceedings/10.1145/3290605",

}

Tag, B, Vargo, AW, Gupta, A, Chernyshov, G, Kunze, K & Dingler, T 2019, Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild. in A Cox & V Kostakos (eds), Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 464, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300694

Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild. / Tag, Benjamin; Vargo, Andrew W.; Gupta, Aman et al.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ed. / Anna Cox; Vassilis Kostakos. New York NY USA: Association for Computing Machinery (ACM), 2019. 464.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Tag, Benjamin

AU - Vargo, Andrew W.

AU - Gupta, Aman

AU - Chernyshov, George

AU - Kunze, Kai

AU - Dingler, Tilman

N1 - Conference code: 37th

PY - 2019

Y1 - 2019

N2 - As the day progresses, cognitive functions are subject to fluctuations. While the circadian process results in diurnal peaks and drops, the homeostatic process manifests itself in a steady decline of alertness across the day. Awareness of these changes allows the design of proactive recommender and warning systems, which encourage demanding tasks during periods of high alertness and flag accident-prone activities in low alertness states. In contrast to conventional alertness assessments, which are often limited to lab conditions, bulky hardware, or interruptive self-assessments, we base our approach on eye blink frequency data known to directly relate to fatigue levels. Using electrooculography sensors integrated into regular glasses’ frames, we recorded the eye movements of 16 participants over the course of two weeks in-the-wild and built a robust model of diurnal alertness changes. Our proposed method allows for unobtrusive and continuous monitoring of alertness levels throughout the day.

AB - As the day progresses, cognitive functions are subject to fluctuations. While the circadian process results in diurnal peaks and drops, the homeostatic process manifests itself in a steady decline of alertness across the day. Awareness of these changes allows the design of proactive recommender and warning systems, which encourage demanding tasks during periods of high alertness and flag accident-prone activities in low alertness states. In contrast to conventional alertness assessments, which are often limited to lab conditions, bulky hardware, or interruptive self-assessments, we base our approach on eye blink frequency data known to directly relate to fatigue levels. Using electrooculography sensors integrated into regular glasses’ frames, we recorded the eye movements of 16 participants over the course of two weeks in-the-wild and built a robust model of diurnal alertness changes. Our proposed method allows for unobtrusive and continuous monitoring of alertness levels throughout the day.

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BT - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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ER -

Tag B, Vargo AW, Gupta A, Chernyshov G, Kunze K, Dingler T. Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild. In Cox A, Kostakos V, editors, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York NY USA: Association for Computing Machinery (ACM). 2019. 464 doi: 10.1145/3290605.3300694

Continuous alertness assessments: using EOG glasses to unobtrusively monitor fatigue levels in-the-wild

Abstract

Conference

Keywords

Access to Document

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