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  1. Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning (SMVC '10)
  2. Using virtual worlds for behaviour clustering-based analysis
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Next generation 3d video representation, processing and coding
A real-time performance system for virtual theater
Towards a spatio-temporal appearance model for human skin
Towards an expressive virtual tutor: an implementation of a virtual tutor based on an empirical study of non-verbal behaviour
Using virtual worlds for behaviour clustering-based analysis
Automatic 3d virtual cloning of a speaking human face
Virtual gazing in video surveillance
A virtual coaching environment for improving golf swing technique
Presentation of geo-referenced videos with google earth
GrabcutD: improved grabcut using depth information
A new approach to photography forensics using 3d analysis for correcting perception errors: a case study
3D reconstruction of indoor and outdoor building scenes from a single image
Building virtual worlds by 3d object mapping

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Using virtual worlds for behaviour clustering-based analysis

Content Provider ACM Digital Library
Author Rodríguez Ortíz, Francisco de Borja González-Pardo, Antonio Fernández, David Camacho Pulido, Estrella
Abstract Virtual Worlds have become a very popular domain and its high inmersive characteristics can be used to extract information about the avatars behaviour. In this kind of environment it is possible to obtain interesting data about avatars, such as their exact position in the world, what they are looking at (eye-gazing) or what they are talking about. This paper studies how this information, obtained from avatars interactions, can be integrated in order to apply clustering techniques. Monitoring avatars in a virtual world is a useful task that allows the identification of behavioral groups. The meaning of these groups depends on the application domain, for example in educational virtual worlds, they can represent whether students are paying attention to the teacher's explanation or not.
Starting Page 9
Ending Page 14
Page Count 6
File Format PDF
ISBN 9781450301756
DOI 10.1145/1878083.1878088
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Normalized compression distance Virtual worlds Hierarchical clustering
Content Type Text
Resource Type Article
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