Gaze tracking

Approach to Quantify Eye Movements to Augment Stroke Diagnosis with a Non-Calibrated Eye-Tracker

Approach to Quantify Eye Movements to Augment Stroke Diagnosis with a Non-Calibrated Eye-Tracker

Approach to Quantify Eye Movements to Augment Stroke Diagnosis with a Non-Calibrated Eye-Tracker 789 429 IEEE Transactions on Biomedical Engineering (TBME)
This is the first study to demonstrate a non-calibrated eye-tracking technology to enhance stroke diagnosis, suggesting machine learning techniques could assess and diagnose neuro-ocular abnormalities without calibration. read more