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Wearable eye tracking for mental health monitoring

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Wearable eye tracking for mental health monitoring. / Vidal, Melodie; Turner, Jayson; Bulling, Andreas et al.
In: Computer Communications, Vol. 35, No. 11, 15.06.2012, p. 1306-1311.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Vidal, M, Turner, J, Bulling, A & Gellersen, H 2012, 'Wearable eye tracking for mental health monitoring', Computer Communications, vol. 35, no. 11, pp. 1306-1311. https://doi.org/10.1016/j.comcom.2011.11.002

APA

Vancouver

Vidal M, Turner J, Bulling A, Gellersen H. Wearable eye tracking for mental health monitoring. Computer Communications. 2012 Jun 15;35(11):1306-1311. doi: 10.1016/j.comcom.2011.11.002

Author

Vidal, Melodie ; Turner, Jayson ; Bulling, Andreas et al. / Wearable eye tracking for mental health monitoring. In: Computer Communications. 2012 ; Vol. 35, No. 11. pp. 1306-1311.

Bibtex

@article{fdd27a754c094068b598b07638a8bf4a,
title = "Wearable eye tracking for mental health monitoring",
abstract = "Pervasive healthcare is a promising field of research as small and unobtrusive on-body sensors become available. However, despite considerable advances in the field, current systems are limited in terms of the pathologies they can detect, particularly regarding mental disorders. In this work we propose wearable eye tracking as a new method for mental health monitoring. We provide two reviews: one of the state-of-the-art in wearable eye tracking equipment and a second one of the work in experimental psychology and clinical research on the link between eye movements and cognition. Both reviews show a significant potential of wearable eye tracking for mental health monitoring in daily life settings. This finding calls for further research on unobtrusive sensing equipment and novel algorithms for automated analysis of long-term eye movement data.",
keywords = "Eye tracking, Wearable sensors , Mental health monitoring , Electrooculography (EOG)",
author = "Melodie Vidal and Jayson Turner and Andreas Bulling and Hans Gellersen",
year = "2012",
month = jun,
day = "15",
doi = "10.1016/j.comcom.2011.11.002",
language = "English",
volume = "35",
pages = "1306--1311",
journal = "Computer Communications",
issn = "0140-3664",
publisher = "Elsevier",
number = "11",

}

RIS

TY - JOUR

T1 - Wearable eye tracking for mental health monitoring

AU - Vidal, Melodie

AU - Turner, Jayson

AU - Bulling, Andreas

AU - Gellersen, Hans

PY - 2012/6/15

Y1 - 2012/6/15

N2 - Pervasive healthcare is a promising field of research as small and unobtrusive on-body sensors become available. However, despite considerable advances in the field, current systems are limited in terms of the pathologies they can detect, particularly regarding mental disorders. In this work we propose wearable eye tracking as a new method for mental health monitoring. We provide two reviews: one of the state-of-the-art in wearable eye tracking equipment and a second one of the work in experimental psychology and clinical research on the link between eye movements and cognition. Both reviews show a significant potential of wearable eye tracking for mental health monitoring in daily life settings. This finding calls for further research on unobtrusive sensing equipment and novel algorithms for automated analysis of long-term eye movement data.

AB - Pervasive healthcare is a promising field of research as small and unobtrusive on-body sensors become available. However, despite considerable advances in the field, current systems are limited in terms of the pathologies they can detect, particularly regarding mental disorders. In this work we propose wearable eye tracking as a new method for mental health monitoring. We provide two reviews: one of the state-of-the-art in wearable eye tracking equipment and a second one of the work in experimental psychology and clinical research on the link between eye movements and cognition. Both reviews show a significant potential of wearable eye tracking for mental health monitoring in daily life settings. This finding calls for further research on unobtrusive sensing equipment and novel algorithms for automated analysis of long-term eye movement data.

KW - Eye tracking

KW - Wearable sensors

KW - Mental health monitoring

KW - Electrooculography (EOG)

U2 - 10.1016/j.comcom.2011.11.002

DO - 10.1016/j.comcom.2011.11.002

M3 - Journal article

VL - 35

SP - 1306

EP - 1311

JO - Computer Communications

JF - Computer Communications

SN - 0140-3664

IS - 11

ER -