A Brief Review of Human Identification Using Eye Movement
The Journal of Pattern Recognition Research (JPRR) provides an international forum for the electronic publication of high-quality research and industrial experience articles in all areas of pattern recognition, machine learning, and artificial intelligence. JPRR is committed to rigorous yet rapid reviewing. Final versions are published electronically
(ISSN 1558-884X) immediately upon acceptance.
A Brief Review of Human Identification Using Eye Movement
Nastaran Maus Esfahani
JPRR Vol 11, No 1 (2016); doi:10.13176/11.705 
Download
Nastaran Maus Esfahani
Abstract
The vulnerability of conventional biometrics to spoof has caused considerable concern especially in those fields that require high reliable user identification. This heightened concern leads to great interest in assessing the probability and efficiency of using eye movements in identification systems. By applying eye movements as biometrics a new approach has been taken into human identification including all the crucial attributes of previous traditional identification that may offer certain notable advantages. The most obvious is the inherent difficulty in forging them. The purpose of this article is to review examples of researches utilizing eye movements in human identification. These studies can be divided into two groups: the first group utilizes eye movement bioelectrical signals in identification purpose and another one uses eye movement tracking in human identification.
JPRR Vol 11, No 1 (2016); doi:10.13176/11.705 | Full Text  | Share this paper: