Copilot - Robotics Institute Carnegie Mellon University
Graphical depiction of the Copilot project
Copilot

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.

Displaying 5 Publications

2005
Ellen M. Ayoob, Richard Grace, and Aaron Steinfeld
Tech. Report, CMU-RI-TR-05-46, Robotics Institute, Carnegie Mellon University, September, 2005
2003
Ellen M. Ayoob, Aaron Steinfeld, and Richard Grace
Conference Paper, Proceedings of Human Factors and Ergonomics Society 47th Annual Meeting (HFES '03), pp. 1840 - 1844, October, 2003
Ellen M. Ayoob, Richard Grace, and Aaron Steinfeld
Conference Paper, Proceedings of Designing for User Experiences (DUX '03), June, 2003
2001
Richard Grace
Conference Paper, Proceedings of International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, August, 2001
1998
Richard Grace, V. E. Byrne, D. M. Bierman, J.-M. Legrand, D. Gricourt, B. K. Davis, J. J. Staszewski, and B. Carnahan
Conference Paper, Proceedings of 17th DASC AIAA / IEEE / SAE Digital Avionics Systems Conference, Vol. 2, pp. 1361 - 1368, October, 1998

current staff

past head

  • Richard Grace

past staff

  • Sonya Stewart

past contact

  • Richard Grace