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Real-Time Gaze Estimation Using a Kinect and a HD Webcam

Authors: 

Yingbo Li, David Monaghan, Noel O'Connor

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In human-computer interaction, gaze orientation is an im- portant and promising source of information to demonstrate the atten- tion and focus of users. Gaze detection can also be an extremely useful metric for analysing human mood and affect. Furthermore, gaze can be used as an input method for human-computer interaction. However, cur- rently real-time and accurate gaze estimation is still an open problem. In this paper, we propose a simple and novel estimation model of the real-time gaze direction of a user on a computer screen. This method utilises cheap capturing devices, a HD webcam and a Microsoft Kinect. We consider that the gaze motion from a user facing forwards is com- posed of the local gaze motion shifted by eye motion and the global gaze motion driven by face motion. We validate our proposed model of gaze estimation and provide experimental evaluation of the reliability and the precision of the method.
Conference Name: 
MMM 2014
Proceedings: 
Lecture Notes in Computer Science
Digital Object Identifer (DOI): 
10.1007/978-3-319-04114-8_43
Publication Date: 
06/01/2014
Volume: 
8325
Pages: 
506-517
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes