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A low-cost head and eye tracking system for realistic eye movements in virtual avatars

Li, Yingbo, Wei, Haolin, Monaghan, David orcid logoORCID: 0000-0002-5169-9902 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2014) A low-cost head and eye tracking system for realistic eye movements in virtual avatars. In: MMM 2014 The 20th Anniversary International Conference on MultiMedia Modeling Dublin, Ireland, 6-10 Jan 2014, Dublin, Ireland.

Abstract
A virtual avatar or autonomous agent is a digital representation of a human being that can be controlled by either a human or an artificially intelligent computer system. Increasingly avatars are becoming realistic virtual human characters that exhibit human behavioral traits, body language and eye and head movements. As the interpretation of eye and head movements represents an important part of nonverbal human communication it is extremely important to accurately reproduce these movements in virtual avatars to avoid falling into the well-known ``uncanny valley''. In this paper we present a cheap hybrid real-time head and eye tracking system based on existing open source software and commonly available hardware. Our evaluation indicates that the system of head and eye tracking is stable and accurate and can allow a human user to robustly puppet a virtual avatar, potentially allowing us to train an A.I. system to learn realistic human head and eye movements.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Avatar; Eye tracking; Head movement; Uncanny valley
Subjects:Computer Science > Image processing
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...
Copyright Information:© 2014 Springer The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19587
Deposited On:21 Jan 2014 11:09 by David Monaghan . Last Modified 04 Feb 2020 15:14
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