Authors:
Giovanni Crisafulli
;
Giancarllo Iannizzotto
and
Francesco La Rosa
Affiliation:
University of Messina, Italy
Keyword(s):
Eye-tracking, Image analysis, Competitive approach, Cooperative approach.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Real-Time Systems
;
Sensor Networks
;
Soft Computing
Abstract:
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an innovative approach to the problem of the eye-tracking. Traditional eye-detectors, chosen for own properties, are combined by two different schemes (competitive and cooperative scheme) to improve own robustness and reliability. To illustrate our work, we introduce a proof-of-concept single camera remote eye-tracker and discuss its implementation and the obtained experimental results.