Paper Info
Title
Eye tracking using monocular camera for gaze estimation applications
Abstract
Gaze estimation reveals valuable information in terms of human behavior. For example, gaze location can be used as a mean of human computer interaction. In practice, locating the eyes position is a challenging task. Moreover, it is more challenging to estimate the location of the gaze. It requires a system to extract the information of the human eye location then estimate the direction of the gaze. There are existing systems that achieve similar tasks. Many of these systems rely on complex systems, such as wearable sensors or an infrared camera to find the exact focus of eyes gaze. Consequently, these systems are not only complex but also suitable for limited applications. In this paper, we present efficient eye focus methods using a monocular camera, which brings more flexibility and convenience to the system. Three different algorithms for locating the eye's focus have been examined and compared. These algorithms are highly efficient and able to discern the location of the eye's focus in real-time using a regular laptop or desktop computers.
Year
DOI
Venue
2016
10.1109/EIT.2016.7535254
2016 IEEE International Conference on Electro Information Technology (EIT)
Keywords
Field
DocType
desktop computers,laptop computers,eye focus methods,complex systems,human eye location,information extraction,eye position localisation,human computer interaction,gaze location,human behavior,gaze estimation,monocular camera,eye tracking
Complex system,Human eye,Computer vision,Laptop,Gaze,Computer science,Wearable computer,Monocular camera,Eye tracking,Artificial intelligence
Conference
ISSN
ISBN
Citations 
2154-0357
978-1-4673-9986-9
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Guojun Yang142.83
Jafar Saniie215247.55