The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

This work is a culmination of years of research to develop an effective in-vehicle countermeasure to drowsy driving. Previous work has developed an effective and independently validated measure of drowsiness, PERCLOS, which has been incorporated into a drowsy driver monitor. This effort seeks to develop an associated drowsy driver interface that enables effective, user-centered interactions with the underlying system. The drowsy driver interface has been designed through a careful participatory design process that included both design experts and CMV drivers.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center

Associated Lab(s) / Group(s): Human-Robot Interaction Group

Associated Project(s): Copilot

Number of pages: 137

Text Reference

Ellen M. Ayoob, Richard Grace, and Aaron Steinfeld, "Driver-Vehicle-Interface (DVI) Development of a Drowsy Driver Detection and Warning System for Commercial Vehicles," tech. report CMU-RI-TR-05-46, Robotics Institute, Carnegie Mellon University, September, 2005

BibTeX Reference

@techreport{Ayoob_2005_5154,
   author = "Ellen M Ayoob and Richard Grace and Aaron Steinfeld",
   title = "Driver-Vehicle-Interface (DVI) Development of a Drowsy Driver Detection and Warning System for Commercial Vehicles",
   booktitle = "",
   institution = "Robotics Institute",
   month = "September",
   year = "2005",
   number= "CMU-RI-TR-05-46",
   address= "Pittsburgh, PA",
}

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