This paper proposes a novel framework for the use of eye movement patterns for biometric
applications. Eye movements contain abundant information about cognitive brain functions …

This paper proposes a method for the extraction of biometric features from the spatial
patterns formed by eye movements during an inspection of dynamic visual stimulus. In the …

This paper presents an objective evaluation of previously unexplored biometric techniques
utilizing patterns identifiable in human eye movements to distinguish individuals. The …

Biometric recognition technology based on eye-movement dynamics has been in
development for more than ten years. Different visual tasks, feature extraction and feature …

In this paper, the biometric potential of eye movement patterns extracted from low frame rate
eye-tracking devices is evaluated. Also, possible improvement in recognition rates is …

Biometric recognition via eye movement-driven features is an emerging field of research.
Eye movement cues are characterized by their non-static nature, the encapsulation of …

Eye movements are a relatively novel data source for biometric identification. When video
cameras applied to eye tracking become smaller and more efficient, this data source could …

This paper presents a research for the use of multi-source information fusion in the field of
eye movement biometrics. In the current state-of-the-art, there are different techniques …

This paper presents an objective evaluation of various eye movement-based biometric
features and their ability to accurately and precisely distinguish unique individuals. Eye …

This research work proposes an innovative processing scheme for the exploitation of eye
movement dynamics on the field of biometrical identification. As the mechanisms that derive …