Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques
Published Date
2001-09-01
Publisher
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.
Keywords
Description
Related to
Replaces
License
Collections
Series/Report Number
Funding information
ITS Institute
Isbn identifier
Doi identifier
Previously Published Citation
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.