Next Article in Journal / Special Issue
Fatigue Risk Management: A Maritime Framework
Previous Article in Journal / Special Issue
Blood Pressure, Sleep Quality and Fatigue in Shift Working Police Officers: Effects of a Twelve Hour Roster System on Cardiovascular and Sleep Health
Article Menu

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2016, 13(2), 174; doi:10.3390/ijerph13020174

Tests of a New Drowsiness Characterization and Monitoring System Based on Ocular Parameters

1
Laboratory for Signal and Image Exploitation, Department of Electrical Engineering and Computer Science, University of Liège, Liège 4000, Belgium
2
Phasya s.a. Company, Angleur 4031, Belgium
*
Author to whom correspondence should be addressed.
Academic Editors: Greg Roach, Drew Dawson, Sally Ferguson, Paul Robers, Lynn Meuleners, Libby Brook and Charli Sargent
Received: 10 October 2015 / Revised: 13 November 2015 / Accepted: 30 November 2015 / Published: 29 January 2016
(This article belongs to the Special Issue Proceedings from 9th International Conference on Managing Fatigue)
View Full-Text   |   Download PDF [945 KB, uploaded 29 January 2016]   |  

Abstract

Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, which can be very dangerous in many activities and can lead to catastrophic accidents in transportation or in industry. There is thus an obvious need for systems that are able to continuously, objectively, and automatically estimate the level of drowsiness of a person busy at a task. We have developed such a system, which is based on the physiological state of a person, and, more specifically, on the values of ocular parameters extracted from images of the eye (photooculography), and which produces a numerical level of drowsiness. In order to test our system, we compared the level of drowsiness determined by our system to two references: (1) the level of drowsiness obtained by analyzing polysomnographic signals; and (2) the performance of individuals in the accomplishment of a task. We carried out an experiment in which 24 participants were asked to perform several Psychomotor Vigilance Tests in different sleep conditions. The results show that the output of our system is well correlated with both references. We determined also the best drowsiness level threshold in order to warn individuals before they reach dangerous situations. Our system thus has significant potential for reliably quantifying the level of drowsiness of individuals accomplishing a task and, ultimately, for preventing drowsiness-related accidents. View Full-Text
Keywords: drowsiness; monitoring; photooculography; polysomnography; psychomotor vigilance test; drowsy driving drowsiness; monitoring; photooculography; polysomnography; psychomotor vigilance test; drowsy driving
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

François, C.; Hoyoux, T.; Langohr, T.; Wertz, J.; Verly, J.G. Tests of a New Drowsiness Characterization and Monitoring System Based on Ocular Parameters. Int. J. Environ. Res. Public Health 2016, 13, 174.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top