Computational Physiology Lab’s New Award

Houston – July 3, 2014


The Computational Physiology Lab (CPL) at the University of Houston (UH) in collaboration with the Texas A&M Transportation Institute (TTI) and the University of Michigan (UM) will develop a cyber-human feedback control loop that will detect or predict abnormal vehicle operation events (e.g., unintended acceleration) and assist the driver in coping with them, taking into account his/her sympathetic state.

Real-time analysis of vehicle sensor data will be used in the detection and prediction of such abnormal vehicle operation events. Facial thermal imaging and wearable physiological sensing will be used in the quantification of the driver’s sympathetic state. The resulting cyber-human feedback control loop will incorporate warning systems and driver-assist functions that will be thoroughly tested in real vehicles and actual traffic conditions.

The TTI-CPL-UM consortium won the award through a competitive bid for proposals handled by a U.S. District Court.

Principle Investigator: Ioannis Pavlidis


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