StimulEye: A Computer Vision Based Concussion Detector

Traumatic brain injuries (TBI) are highly prevalent in contact sports, affecting the physical safety of athletes of all ages. Despite this, there is currently no affordable and objective way to test for concussions on the sidelines. Current sideline concussion tests are either trivial and subjective or overly complex and financially unfeasible. This paper presents a method for concussion detection using a smartphone. The proposed smartphone TBI test uses the camera to analyze the reactions of players' pupils when subjected to the external stimulus provided by the smartphone's LED. The results of this research show that sufficient data and accuracy are obtained by the application, StimulEye, to efficiently and accurately detect a concussion.