VR-based testing station for impairment screening

In this project, a VR-based testing station for impairment screening will be implemented. The station includes a Virtual Reality (VR) goggle (to be updated to Augmented Reality, AR, later), biophysiological measurement sensors, and an integration algorithm to integrate the result of measurement with scene construction of the VR system to implement dynamic scene rendering. The project will undergo several steps including basic scene construction and depth creation to model simple scenarios for the user and to research the implementation (and effect) of different related tests on level of impairment; sophisticated rendering algorithm creation to automatically design scenes based on the application; and dynamic scene construction to receive feedback from other measurement sensors and to implement a dynamic algorithm to update the scenes based on user’s reaction.

Faculty Supervisor:

Jiannan Wang


Rahul Moorthy


CannSight Technologies Inc


Computer science






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