Title :
Person Identification Using Eye Movements and Post Saccadic Oscillations
Author :
Vitonis, Darius ; Hansen, Dan Witzner
Author_Institution :
Eye Inf. Lab., IT Univ. of Copenhagen, Copenhagen, Denmark
Abstract :
A novel person identification approach using eye movements is presented and evaluated. The method incorporates both physical and behavioral characteristics of the human eye and is specifically based on eye movements and post saccadic oscillations. In an experiment with 12 participants the method achieved an identification accuracy of 86.4 % using random forest classification.
Keywords :
biometrics (access control); image classification; learning (artificial intelligence); object recognition; eye movement; human eye behavioral characteristic; human eye physical characteristic; person identification approach; post saccadic oscillation; random forest classification; Accuracy; Authentication; Biological system modeling; Feature extraction; Lenses; Oscillators; Tracking; eye-tracking; identification; post-saccadic oscillations;
Conference_Titel :
Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on
DOI :
10.1109/SITIS.2014.116
