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Copilot
This project is no longer active.

Head: Richard Grace
Contact: Richard Grace (rgrace@attentiontechnology.com)

Mailing address:
National Robotics Engineering Consortium
Ten 40th Street
Pittsburgh, PA 15201

Associated center: NREC

The Copilot is the first device to accurately detect and track human drowsiness and provide a warning to the driver. The Copilot provides a continuous real time measurement of eye position and eyelid closure. A direct measurement of drowsiness is calculated from the analysis of slow eyelid closures. In particular the Copilot calculates PERCLOS or percent eye closure, simply defined as the proportion of time the eyes are closed over a specified time interval. The Copilot provides a visual gauge representing the driver's drowsiness level and an audible warning when a preset drowsiness threshold is reached.

Name - Title <Email Address>
• Ellen M Ayoob - Interaction Designer, HCII <ema@cs.cmu.edu (Currently On Leave)>
• Richard Grace - Senior Systems Scientist <rgrace@attentiontechnology.com>
• [Home] Aaron Steinfeld - Systems Scientist <steinfeld@cmu.edu>
• Sonya Stewart - Research Associate III

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Driver-Vehicle-Interface (DVI) Development of a Drowsy Driver Detection and Warning System for Commercial Vehicles
  E.M. Ayoob, R. Grace, and A. Steinfeld
  tech. report CMU-RI-TR-05-46, Robotics Institute, Carnegie Mellon University, September, 2005. [Abstract]
  Download: pdf [7427 KB] copyrighted

• A user-centered drowsy driver detection and warning system
  E.M. Ayoob, R. Grace, and A. Steinfeld
  Proceedings of Designing User Experiences (DUX), 2003. [Abstract]
  Download: pdf [141 KB] copyrighted

• Identification of an appropriate drowsy driver detection interface for commercial vehicle operations
  E.M. Ayoob, A. Steinfeld, and R. Grace
  Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, 2003, pp. 1840-1844. [Abstract]
  Download: pdf [1599 KB] copyrighted

• Drowsy Driver Monitor and Warning System
  R. Grace
  International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, August, 2001. [Abstract]
  Download: pdf [102 KB] copyrighted

• A drowsy driver detection system for heavy vehicles
  R. Grace, V.E. Byrne, D.M. Bierman, J. Legrand, D. Gricourt, B.K. Davis, J.J. Staszewski, and B. Carnahan
  Proceedings of the 17th Digital Avionics Systems Conference, Vol. 2, 2001, pp. I36/1 - I36/8. [Abstract]
  Download: pdf [703 KB] copyrighted