Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue
- 26 July 2004
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Vehicular Technology
- Vol. 53 (4), 1052-1068
- https://doi.org/10.1109/tvt.2004.830974
Abstract
This paper describes a real-time online prototype driver-fatigue monitor. It uses remotely located charge-coupled-device cameras equipped with active infrared illuminators to acquire video images of the driver. Various visual cues that typically characterize the level of alertness of a person are extracted in real time and systematically combined to infer the fatigue level of the driver. The visual cues employed characterize eyelid movement, gaze movement, head movement, and facial expression. A probabilistic model is developed to model human fatigue and to predict fatigue based on the visual cues obtained. The simultaneous use of multiple visual cues and their systematic combination yields a much more robust and accurate fatigue characterization than using a single visual cue. This system was validated under real-life fatigue conditions with human subjects of different ethnic backgrounds, genders, and ages; with/without glasses; and under different illumination conditions. It was found to be reasonably robust, reliable, and accurate in fatigue characterization.This publication has 22 references indexed in Scilit:
- Real Time Visual Cues Extraction for Monitoring Driver VigilanceLecture Notes in Computer Science, 2001
- Quantitative Similarity between the Cognitive Psychomotor Performance Decrement Associated with Sustained Wakefulness and Alcohol IntoxicationPublished by Elsevier BV ,1998
- Pose Discriminiation and Eye Detection Using Support Vector Machines (SVM)Published by Springer Science and Business Media LLC ,1998
- Improved video-based eye-gaze detection methodIEEE Transactions on Instrumentation and Measurement, 1998
- The Three-Process Model of Alertness and Its Extension to Performance, Sleep Latency, and Sleep LengthChronobiology International, 1997
- Image representation using 2D Gabor waveletsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Support-vector networksMachine Learning, 1995
- Does fatigue exist in a quantitative measurement of eye movements?Ergonomics, 1992
- A general regression neural networkIEEE Transactions on Neural Networks, 1991
- Human-computer interaction using eye-gaze inputIEEE Transactions on Systems, Man, and Cybernetics, 1989