Identification of the oculo-motor system based on the Volterra model using eye tracking technology

Abstract

Instrumental algorithmic and software tools for constructing a nonparametric dynamic model of the human oculo-motor system (OMS) based on its inertial and nonlinear properties are developed in the paper on the basis of the experimental studies data of «input-output» in the form of the Volterra model. Taking into account the specificity of the object investigated, test multistage signals (visual stimulus) were used for identification. Based on the experimental data obtained using the developed computational algorithms and data processing software, a nonparametric dynamic model of OMS in the form of a transition function and transition functions of the 2nd and 3rd orders is constructed. Verification of the constructed model showed its adequacy to the object investigated – a practical coincidence (within the acceptable error) of the object and model feedback for the same test effect.

Biometric Identification based on the Multidimensional Transient Functions of the Human Oculo-Motor System

“…Coordinates of the starting position (x=0, y= (1/2)ly), where ly is the width of the monitor screen. Experimental studies of OMS were conducted using high-tech equipment -eye tracker TOBII PRO TX300 (300 Hz) [29].…”

Identification of the Oculo-Motor System in the Form Volterra Model Based on Eye-Tracking Data

“…The developed software enables support of the following tasks: − The relationship study of mental states and cognitive processes in educational activities, a post-traumatic stress disorder, the diagnosis of the Parkinson's and Alzheimer's disease stage, checking the psychophysiological state of pilots and drivers, the professional suitability, the fatigue syndrome [10][11][12][13][14][15][16].…”

“…− The interaction of mental states and cognitive processes during the educational activities of students, an objective assessment of their cognitive development level, assessment of the effectiveness of training to improve mental processes and for psychological correction of personality [16]. − Extension of the individual's creative life due to the early diagnosis of degenerative processes of cognitive functions of the brain.…”

“…In the Laboratory of Motion Analysis and Interface Ergonomics at the Lublin University of Technology (Lublin, Poland), joint studies of the human OMS were performed to obtain diagnostic information for solving urgent problems in the neuro informatics and the computational neuroscience. Experimental research was carried out using eye tracking technology with the use of the video based Tobii TX300 (300 Hz sampling rate) eye tracker and appropriate software [16].…”

Building a classifier in the personality recognition system based on eye tracking data

“…The first, second and third orders transition functions of the OMS were determined based on the data received using the Tobii Pro TX300 eye tracker [30]. Since there is a substantial difference between the diagonal intersections of the second and third order transition functions of two individuals, they can be used for feature space forming to build statistical classifiers for identity recognition.…”