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Virtual mouse vision based interface
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Proceedings of the 9th international conference on Intelligent user interfaces table of contents
Funchal, Madeira, Portugal
SESSION: Novel interaction modalities II table of contents
Pages: 177 - 183  
Year of Publication: 2004
ISBN:1-58113-815-6
Authors
Paul Robertson  DOLL Inc., Andover, MA
Robert Laddaga  MIT CSAIL, Cambridge, MA
Max Van Kleek  MIT CSAIL, Cambridge, MA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

A vision-based virtual mouse interface is described that utilizes a robotic head, visual tracking of the users head and hand positions and recognition of user hand signs to control an intelligent kiosk. The user interface supports, among other things, smooth control of the mouse pointer and buttons using hand signs and movements. The algorithms and architecture of real-time vision and robot controller are described.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Kalman Filtering: Theory and Application. IEEE Press, 1985.
 
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Michael Coen, Brenton Phillips, Nimrod Warshawsky, Luke Weisman, Stephen Peters, and Peter Finin. Meeting the computational needs of intelligent environments: The metaglue system. In Proceedings of MANSE'99, 1999.
 
4
D. Cohen and L. Prusak. In Good Company: How Social Capital Makes Organizations Work. Harvard Business School Press, Cambridge, Massachusetts, 2001.
 
5
Michael Dertouzos. The future of computing. Scientific American, 1999.
 
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7
Ajay Kulkarni. A reactive behavioral system for the intelligent room. Technical report, MIT AI Lab, 2002.
 
8
Employees on the move. Steelcase Workplace Index Survey, April 2002.
 
9
Max Van Kleek. Intelligent environments for informal public spaces: the Ki/o Kiosk Platform. M.Eng. Thesis, Massachusetts Institute of Technology, Cambridge, MA, February 2003.
 
10
P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings of Computer Vision and Pattern Recognition 2001, 2001.


Collaborative Colleagues:
Paul Robertson: colleagues
Robert Laddaga: colleagues
Max Van Kleek: colleagues