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Summary: O l t Pl t Bi t i P S ifi F t iOculomotor Plant Biometrics: Person-Specific Features in
E M tEye Movements
1 1 2 1Sampath Jayarathna1, Oleg Komogortsev1, Cecilia Aragon2, and Mechehoul Mahmoud1
1Texas State University San Marcos, 2Lawrence Berkeley National LaboratoryTexas State University San Marcos, Lawrence Berkeley National Laboratory
Abstract Oculomotor Plant Mathematical Model (OPMM) Experimental Methodology
Apparatus: The experiments were conducted with a Tobii x120 eye tracker.This study presents a new biometric approach that involves an estimation of the
unique oculomotor plant (OP) or eye globe muscle parameters from an eye
Eye Movement Invocation Task: The stimulus was presented as a `jumping point'
with vertical coordinate fixed to the middle of the screen.
movement trace. It includes both behavioral and physiological human attributes, is
difficult to counterfeit, non-intrusive, and could easily be incorporated into existing
biometric systems to provide an extra layer of security
Participants: The test data consisted of 68 student volunteers ages 18-25 with an
average age of 21.2 and standard deviation of 3.2, 24 males and 44 females, with
Background
biometric systems to provide an extra layer of security.
Biometrics: Refers to methods for uniquely recognizing humans based upon one or
more intrinsic physical or behavioral traits There are two major categories of
normal or corrected-to-normal vision. Only 41 subject records passed the selection
criteria, resulting in mean accuracy of 1.25º (SD=0.77) and a mean invalid data
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