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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