ENGS 89/90 Reports
Eye Tracking to Facilitate Epileptic Seizure Detection
Degree Program
B.E.
Year of Graduation
2022
Sponsor
Dr. Erik Kobylarz, Lebanon, NH
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.
Level of Access
Restricted: Campus/Dartmouth Community Only Access
Dartmouth Digital Commons Citation
Marmol Contreras, Yorkiris, "Eye Tracking to Facilitate Epileptic Seizure Detection" (2022). ENGS 89/90 Reports. 58.
https://digitalcommons.dartmouth.edu/engs89_90/58
Restricted
Available to Dartmouth community via local IP address.