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Bare-hand human-computer interaction
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Source ACM International Conference Proceeding Series; Vol. 15 archive
Proceedings of the 2001 workshop on Perceptive user interfaces table of contents
Orlando, Florida
POSTER SESSION: Posters & demos table of contents
Pages: 1 - 8  
Year of Publication: 2001
Authors
Christian von Hardenberg  Institut für Elektronik, Technische Universität Berlin, Berlin, Germany
François Bérard  CLIPS-IMAG, BP 53, 38041 Grenoble Cedex 9, France
Publisher
ACM  New York, NY, USA
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APPENDICES and SUPPLEMENTS
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ABSTRACT

In this paper, we describe techniques for barehanded interaction between human and computer. Barehanded means that no device and no wires are attached to the user, who controls the computer directly with the movements of his/her hand.Our approach is centered on the needs of the user. We therefore define requirements for real-time barehanded interaction, derived from application scenarios and usability considerations. Based on those requirements a finger-finding and hand-posture recognition algorithm is developed and evaluated.To demonstrate the strength of the algorithm, we build three sample applications. Finger tracking and hand posture recognition are used to paint virtually onto the wall, to control a presentation with hand postures, and to move virtual items on the wall during a brainstorming session. We conclude the paper with user tests, which were conducted to prove the usability of bare-hand human computer interaction.


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.

 
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Bérard, F. Vision par ordinateur pour l'interaction homme-machine fortement couplée, Doctoral Theses, Université Joseph Fourier, Grenoble, 1999.
 
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Laptev, I. and Lindeberg, T. Tracking of Multi-State Hand Models Using Particle Filtering and a Hierarchy of Multi-Scale Image Features, Technical report ISRN KTH/NA/P-00/ 12-SE, September 2000.
 
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Lien, C. and Huang, C. Model-Based Articulated Hand Motion Tracking For Gesture Recognition, Image and Vision Computing, vol. 16, no. 2, 121--134, February 1998.
 
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Quek, F., Mysliwiec, T. and Zhao, M. Finger mouse: A freehand pointing interface, International Workshop on Automatic Face- and Gesture-Recognition, Zürich, 1995.
 
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Stafford-Fraser, J. Video-Augmented Environments, PhD theses, Gonville & Caius College, University of Cambridge, 1996.
 
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CITED BY  23

Collaborative Colleagues:
Christian von Hardenberg: colleagues
François Bérard: colleagues