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Real-time gaze estimation using a Kinect and a HD webcam

Li, Yingbo, Monaghan, David ORCID: 0000-0002-5169-9902 and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 (2014) Real-time gaze estimation using a Kinect and a HD webcam. In: MMM 2014 The 20th Anniversary International Conference on MultiMedia Modeling Dublin, Ireland, 6-10 Jan 2014, Dublin, Ireland.

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Abstract

In human-computer interaction, gaze orientation is an important and promising source of information to demonstrate the attention 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, currently 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 composed 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.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Gaze estimation; Gaze tracking; Eye tracking; Kinect
Subjects:Computer Science > Multimedia systems
Computer Science > Image processing
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Multimedia Modelling. Lecture Notes in Computer Science 8325. Springer.
Publisher:Springer
Official URL:http://link.springer.com/chapter/10.1007/978-3-319-04114-8_43
Copyright Information:© 2014 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19588
Deposited On:21 Jan 2014 11:11 by David Monaghan . Last Modified 04 Feb 2020 15:14

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