This project uses VR to investigates how humans interact with machines in driving, manufacturing and the military. We combine VR with eye-tracking, physiological, and neuroimaging techniques to comprehensively measure the human behavior.
The project investigates cognitive and visual load of operating automated driving systems on Ontario roads. This is the first project of its kind at the University of Windsor.
Partners: Ontario Ministry of Transportation + SSHRCThis project investigates using ubiquitous webcam feeds to measure cognitive load for the early detection of Zoom fatigue. This is to prevent the onset of Zoom fatigue during online videoconferencing. A similar approach is being developed to conduct virtual Cognitive Ergonomics assessments of Atlas Copco's manufacturing tools.
Partners: WE-SPARK + Atlas CopcoThis project measures heart rate and blood pressure estimations from photoplethysmography (PPG) sensors and human posture tracking based on inertial measurement unit (IMU) sensors. Psychological state will also be measured through cognitive load estimation based on eye-tracking data.
This projects aims to develop algorithms for application in autonomous driver assistance systems and robust battery management systems in electric vehicles
