Two-Dimensional Linear Homeomorphic Oculomotor Plant Mathematical Model
Date
2012-06-10
Authors
Komogortsev, Oleg V.
Holland, Corey D.
Jayarathna, Sampath
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Abstract
This paper builds a two-dimensional linear homeomorphic oculomotor plant mathematical model and assesses its ability to simulate person-specific oblique saccades on a two-dimensional plane. The proposed model is driven by a simplified pulse-step neuronal control signal and accounts in a linear form for the unique characteristics of the eye globe and the extraocular muscles responsible for horizontal and vertical rotation (the lateral/medial recti and superior/inferior recti respectively). These characteristics include: series elasticity, length tension, passive elasticity, viscosity, eye globe inertial mass, and the force-velocity relationships of agonist/antagonist muscles. Results indicate that the model is capable of producing oblique saccade trajectories with properties resembling those of normal humans. The model can be simplified into two one-dimensional models for quicker signal simulation, making it applicable for time sensitive applications. Practical applications of the model might include: enhanced security in biometric identification systems; improved noise reduction and signal recovery facilities for eye tracking systems; and additional metrics from which to determine user effort during usability testing.
Description
Keywords
oculomotor plant, model, simulation, prediction, human visual system, saccade, Computer Science
Citation
Komogortsev, O. V., Holland, C., & Jayarathna, S. (2012). Two-dimensional linear homeomorphic oculomotor plant mathematical model (Report No. TXSTATE-CS-TR-2012-6). Texas State University-San Marcos, Department of Computer Science.