Abstract
Studies in social psychology [7] have experimentally validated the common feeling that nonverbal behavior, including, but not limited to, gaze and facial expressions, is extremely significant in human interactions. Proxemics [4] describes the social aspects of distance between interacting individuals. This distance is an indicator of the interactions that occur and provides information valuable to understanding human relationships.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Chippendale. Towards automatic body language annotation. In 7th IEEE InternationalConference on Automatic Face and Gesture Recognition, FG06 pages 487–492, Southampton, UK, Apr. 2006.
P. Chippendale and O. Lanz. Optimised meeting recording and annotation using real-time video analysis. In 5th Joint Workshop on Machine Learning and Multimodal Interaction, MLMI08, Utrecht, The Netherlands, Sept. 2008.
J. W. Davis. Hierarchical motion history images for recognizing human motion. In IEEE Workshop on Detection and Recognition of Events in Video, page 39, 2001.
E. T. Hall. The Hidden Dimension: Man’s Use of Space in Public and Private. Bodley Head, London, 1969.
B. L. M. Zancanaro and F. Pianesi. Automatic detection of group functional roles in face to face interactions. In Proceedings of the International Conference on Multimodal Interfaces, ICMI06, pages 28–34, 2006.
M.Voit and R.Stiefelhagen. Tracking head pose and focus of attention with multiple farfield cameras. In International Conference on Multimodal Interfaces - ICMI 2006, Banff, Canada, Nov. 2006.
K. Parker. Speaking turns in small group interaction: A context-sensitive event sequence model. Journal of Personality and Social Psychology, 54(6), 1988.
S. Phung, A. Bouzerdoum, and D. Chai. A novel skin colour model in ycbcr colour space and its application to human face detection. In International Conference on Image Processing 2002, volume 1, pages 289–292, Sept. 2002.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag London Limited
About this chapter
Cite this chapter
Lanz, O., Brunelli, R., Chippendale, P., Voit, M., Stiefelhagen, R. (2009). Extracting Interaction Cues: Focus of Attention, Body Pose, and Gestures. In: Waibel, A., Stiefelhagen, R. (eds) Computers in the Human Interaction Loop. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-84882-054-8_9
Download citation
DOI: https://doi.org/10.1007/978-1-84882-054-8_9
Publisher Name: Springer, London
Print ISBN: 978-1-84882-053-1
Online ISBN: 978-1-84882-054-8
eBook Packages: Computer ScienceComputer Science (R0)