Quantitative Methods for the Diagnosis of Traumatic Brain Injury Using Eye Gaze and Biometric Sensors

Quantitative Methods for the Diagnosis of Traumatic Brain Injury Using Eye Gaze and Biometric Sensors

Presenter(s)

Tanner Anthony Cuttone, Nathaniel Robert Doll, Ryan J. French, Isabella M. Saylor, Meredith Katharine Tropeano

Comments

Presentation: 1:15-2:30, Kennedy Union Ballroom

Description

This poster provides a summary of an IRB approved research study on the optical response of the human eye using a GazePoint eye tracking system and biometrics hardware. Pupil dilation, gaze position, blink rate, and reaction time were recorded for human subjects in response to various visual stimuli on a computer screen. In addition, heart rate and galvanic skin response were recorded using a suite of biosensors. The experimental tasks were designed with varying levels of complexity and included both memory-recall and computational tasks. The overall aim of this study was to establish baseline data sets across multiple demographics, which can be used in the future to advance clinical diagnostic methodologies using quantitative methods for various types of traumatic brain injury, including concussion.

Publication Date

4-17-2024

Project Designation

Independent Research

Primary Advisor

Amy T. Neidhard-Doll

Primary Advisor's Department

Electrical and Computer Engineer

Keywords

Stander Symposium, School of Engineering

Institutional Learning Goals

Scholarship; Practical Wisdom; Community

Quantitative Methods for the Diagnosis of Traumatic Brain Injury Using Eye Gaze and Biometric Sensors

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