Driver Behavioral Situational Awareness System (DB-SAM)
The research will attempt to automatically classify certain aspects of driver state (such as fatigue) or distraction due to a conversation using a handheld device (such as a cell phone). This will be done in part by continuously estimating the facial head pose of a driver to see if the driver is paying attention to the road and his/her surroundings. Other facial cues, such as mouth movement and eye movement, as well as whether the driver has both hands on the steering wheel, will be used to determine driver attentiveness. The proposed system will automatically detect “soft” biometric information about the driver, such as age, gender, ethnicity, glasses, etc.
- Record URL:
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Supplemental Notes:
- Program Information: Exploratory Advanced Research, Surface Transportation Research
Language
- English
Project
- Status: Active
- Funding: $600000
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Sponsor Organizations:
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Thor, Craig
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Performing Organizations:
Carnegie Mellon University
Transportation Research Institute
Pittsburgh, PA United States 15213 -
Principal Investigators:
Savvides, Marios
- Start Date: 20140313
- Expected Completion Date: 20160412
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Age; Awareness; Behavior; Distraction; Drivers; Eye movements; Fatigue (Physiological condition); Gender; Smartphones
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01576061
- Record Type: Research project
- Source Agency: Department of Transportation
- Files: RIP, USDOT
- Created Date: Sep 23 2015 9:44AM