Individual Differences in Peripheral Physiology and Implications for the Real-Time Assessment of Driver State (Phase 2)

Driving in the state of distraction due to interactions with visual manipulative devices, as well as more complex cognitive demands, is increasing at alarming rates. Recent observations suggest that the current legislative effort aimed at text messaging is not having a strong enough impact. Methods for the real time detection of a driver's state prior to overt changes in driving performance may play an important role in future distraction and workload mitigation systems. In this work, the researchers propose to focus on the development of algorithms, based in part upon the use of physiological measures and visual attention, to classify periods were a driver is operating under high levels of cognitive workload. This work should provide advances in recursive and learning algorithms that can quantify driver state, as well as more advanced machine learning approaches. The researchers aim to devote some effort into studying the influence of window overlap and window width on the detection of short and long duration demands. In summary, this project will develop new insights into the use of physiological indices and visual attention as components of an algorithm to detect driver cognitive distraction. Results are expected to provide significant insight regarding the feasibility of implementing real-time driver state detection systems.


    • English


    • Status: Active
    • Contract Numbers:



    • Sponsor Organizations:

      Research and Innovative Technology Administration

      Department of Transportation
      1200 New Jersey Avneue, SE
      Washington, DC  United States  20590
    • Principal Investigators:

      Reimer, Bryan

    • Start Date: 20100901
    • Expected Completion Date: 0
    • Actual Completion Date: 20120831
    • Source Data: RiP Project 29315

    Subject/Index Terms

    Filing Info

    • Accession Number: 01480743
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: DTRT07-G-0001, MITR23-5
    • Files: UTC, RiP
    • Created Date: May 7 2013 1:01AM