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Case Study

Guide medical diagnosis with biometric eye tracking

Design and build a realtime gaze tracking application to assess cognitive performance in dementia, concussion, and intoxication patient cohorts


Our client needed to assess gaze tracking as part of their cognitive assessment platform. Specifically, they needed a mobile application to assess cognitive functioning in realtime for healthy vs. not-healthy behavior in dementia, concussion, and intoxication patient cohorts.


Our team designed a tablet-based application to record a person’s ability to track a visual stimulus (nystagmogram) for healthy, non-concussed individuals. We conducted 2D and 3D feature engineering of the videos to extract facial landmarks, including corrections for head position, orientation, and angle. We trained a convolutional neural net to learn the focus of the gaze, and score a new individual’s ability to track a visual stimulus. Performance-tuned models delivered responses in realtime within six degrees of accuracy on a mobile platform.

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