ENGS 89/90 Reports

Title

Eye Tracking to Facilitate Epileptic Seizure Detection

Degree Program

B.E.

Year of Graduation

2022

Project Advisor

Kofi Odame

Instructor

Laura Ray

Document Type

Report

Publication Date

2022

Abstract

The precision and power needs of an eye-tracking system for seizure detection are different than those offered by existing technology. Firstly, the device should collect data for as many waking hours as possible, and optimally, allow for unlimited mobility (i.e. untethered power). This requires a solution with low power consumption. Moreover, applying eye-tracking for seizure detection may not require high precision, as in previous applications, since the device should aim to classify movement patterns associated with seizure activity rather than precise eye- positioning.Research has shown that a low-power prototype employing NIR LED emitter and photodiode pairs surrounding the eye can detect the eye’s position accurately within one millimeter [8,9]. Light reflects stronger off the white of the eye, and differences in photodiode output signals allow for placement of the pupil. This technology is the basis for the provided prototype. Developing technology that takes advantage of naturally occurring seizure-specific eye deviation to monitor seizure presents an opportunity to revolutionize epileptic care by improving patient comfort, accessibility, and care efficiency during diagnostic procedures and treatment assignment.

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Restricted: Campus/Dartmouth Community Only Access

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