Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques

Published Date

2001-09-01

Publisher

Center for Transportation Studies, University of Minnesota

Type

Abstract

Driver fatigue is an important factor in many vehicular accidents. Reducing the number of fatigue-related accidents would save society a significant amount financially, in addition to reducing personal suffering. The researchers developed a driver fatigue monitoring system that uses a camera (or cameras) to detect indications of driver fatigue. The mechanism detects and tracks the eyes of the driver based on human skin color properties, along with templates that monitor how long the eyes are open or closed. Tests of the approach were run on 20 human subjects in a simulated environment (the driving simulator at the Human Factors Research Laboratory) in order to find its potential and its limitations. This report describes the findings from these experiments.

Description

Related to

Replaces

License

Collections

Series/Report Number

Funding information

ITS Institute

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

CTS 01-05

Suggested citation

Veeraraghavan, Harini; Papanikolopoulos, Nikolaos P.. (2001). Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/669.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.