VR – Oculomotor Test System
Project leader: ,
Project members: ,
Start date: 1. April 2021
End date: 31. December 2023
Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)
Abstract
The aim of the project is to develop a rapid automated diagnosis (using artificial intelligence) of a fusion disorder in cases of e.g. concussion by measuring the oculomotor function (eye-tracking) for three-dimensional stimuli.
Eye tracking can help to identify unnormal behavior of the eye movement. Like shown in the image on the right the patient can move the eyes jointly to fixate a target in central gaze and in right direction (patient’s left) but when looking to the left (patient’s right) the left eye (patient’s right eye) cannot follow and fusion of the eyes breaks which leads to double vision. Machine Learning can – based on eye tracking data – identify which eye muscle is affected and causes the unnormal movement behavior. Such unnormal behavior is often the result of concussion due to lesions in the brain.
The here proposed system can be applied to many domains. We focus on sports related concussions which appear very often. Therefore, a quick and reliable assessment of concussion is crucial to avoid severe brain damage.
