Blinking supervision in a working environment

The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency has been shown to decrease in certain conditions such as when subjects are conducting tasks with high cognitive and visual demands. These co...

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Vydané v:Journal of biomedical optics Ročník 21; číslo 2; s. 25005
Hlavní autori: Morcego, Bernardo, Argilés, Marc, Cabrerizo, Marc, Cardona, Genís, Pérez, Ramon, Pérez-Cabré, Elisabet, Gispets, Joan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 01.02.2016
Predmet:
Algorithms
Blinking - physiology
Dry Eye Syndromes
Humans
Image Processing, Computer-Assisted - methods
Iris - physiology
Workplace
ISSN:1560-2281
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Abstract The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency has been shown to decrease in certain conditions such as when subjects are conducting tasks with high cognitive and visual demands. These conditions are becoming more common as people work or spend their leisure time in front of video display terminals. Supervision of blinking frequency in such environments is possible, thanks to the availability of computer-integrated cameras. Therefore, the aim of the present study is to develop an algorithm for the detection of eye blinks and to test it, in a number of videos captured, while subjects are conducting a variety of tasks in front of the computer. The sensitivity of the algorithm for blink detection was found to be of 87.54% (range 30% to 100%), with a mean false-positive rate of 0.19% (range 0% to 1.7%), depending on the illumination conditions during which the image was captured and other computer–user spatial configurations. The current automatic process is based on a partly modified pre-existing eye detection and image processing algorithms and consists of four stages that are aimed at eye detection, eye tracking, iris detection and segmentation, and iris height/width ratio assessment.
AbstractList The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency has been shown to decrease in certain conditions such as when subjects are conducting tasks with high cognitive and visual demands. These conditions are becoming more common as people work or spend their leisure time in front of video display terminals. Supervision of blinking frequency in such environments is possible, thanks to the availability of computer-integrated cameras. Therefore, the aim of the present study is to develop an algorithm for the detection of eye blinks and to test it, in a number of videos captured, while subjects are conducting a variety of tasks in front of the computer. The sensitivity of the algorithm for blink detection was found to be of 87.54% (range 30% to 100%), with a mean false-positive rate of 0.19% (range 0% to 1.7%), depending on the illumination conditions during which the image was captured and other computer–user spatial configurations. The current automatic process is based on a partly modified pre-existing eye detection and image processing algorithms and consists of four stages that are aimed at eye detection, eye tracking, iris detection and segmentation, and iris height/width ratio assessment.
Author Argilés, Marc
Morcego, Bernardo
Cabrerizo, Marc
Pérez, Ramon
Cardona, Genís
Gispets, Joan
Pérez-Cabré, Elisabet
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  givenname: Genís
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  givenname: Joan
  surname: Gispets
  fullname: Gispets, Joan
  organization: Universitat Politècnica de Catalunya, Department of Optics and Optometry, School of Optics and Optometry, c/Violinista Vellsolà, 37, 08222 Terrassa, Spain
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Snippet The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency...
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SubjectTerms Algorithms
Blinking - physiology
Dry Eye Syndromes
Humans
Image Processing, Computer-Assisted - methods
Iris - physiology
Workplace
Title Blinking supervision in a working environment
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