Title

Fatigue Detection Using Computer Vision

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2010

Volume

vol. 56

Issue

No 4

Authors

Mitesh Patel ; Sara Lal ; Diarmuid Kavanagh ; Rossiter, Peter

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2010

Identifier

DOI: 10.2478/v10177-010-0062-8 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

Source

International Journal of Electronics and Telecommunications; 2010; vol. 56; No 4

References

Brown I. (1994), Driver Fatigue. Human Factors, 36, 298. ; Williamson A. (1996), Accident Analysis and Prevention, 28, 709. ; S. Motorist, Driver Fatigue is an important cause of Road Crashes, Smart Motorist. ; <i>Driver Fatigue and Road Accidents: A Literature Review and Position Paper</i>, The Royal Society for the Prevention of Accidents, 2001. ; <i>Road and Traffic Authority (RTA) Annual Report</i>, Sidney, 2008. ; Takei Y. (2005), Estimate of driver's fatigue through steering motion, null, 1765. ; Lal S. (2002), Driver fatigue: Electroencephalography and psychological assesement, Psychology, 39, 313. ; Mulder L. (1992), Measurement and analysis methods of heart rate and respiration for use in applied envioroments, Biological Psychology, 34, 205. ; Vural E. (2007), Driver Detection Through Facial Movement Analysis. ; Saradadevi M. (2008), Driver fatigue detection using mouth and yowning analysis, International Journal of Computer Sciences and Network Security, 8, 183. ; Betke M. (2000), Preliminary investigation of real-time monitoring of a driver in city traffic, null. ; Ito T. (2002), Driver blink measurement by the motion picture processing and its application to drowsiness detection, null, 168. ; Horng W.-B. (2004), Driver fatigue detection based on eye tracking and dynamic template matching, null, 7. ; D'Orazio T. (2004), An algorithm for real time eye detection in face images, null, 278. ; Lalonde M. (2007), Real-tiem eye blink detection with GPU-based SIFT tracking, Computer and Robot Vision, 7. ; Liang D. (2007), Non-intrusive eye gaze direction tracking using color segmentation and hough transform, null, 602. ; "AIT computer vision wiki matlab: Tutorial: detectface."