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Shadow tracking on multi-touch tables
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AVI archive
Proceedings of the working conference on Advanced visual interfaces table of contents
Napoli, Italy
POSTER SESSION: Day 2: Visualization and user experience table of contents
Pages 388-391  
Year of Publication: 2008
ISBN:1-978-60558-141-5
Authors
Florian Echtler  Technische Universität München, Boltzmannstr, Garching, Germany
Manuel Huber  Technische Universität München, Boltzmannstr, Garching, Germany
Gudrun Klinker  Technische Universität München, Boltzmannstr, Garching, Germany
Sponsors
SIGCHI Italy : SIGCHI Italy
SIGCHI : Specialist Interest Group in Computer-Human Interaction of the ACM
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 58,   Downloads (12 Months): 381,   Citation Count: 3
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ABSTRACT

Multi-touch interfaces have been a focus of research in recent years, resulting in development of various innovative UI concepts. Support for existing WIMP interfaces, however, should not be overlooked. Although several approaches exist, there is still room for improvement, particularly regarding implementation of the "hover" state, commonly used in mouse-based interfaces.

In this paper, we present a multi-touch system which is designed to address this problem. A multi-touch table based on FTIR (frustrated total internal reflection) is extended with a ceiling-mounted light source to create shadows of hands and arms. By tracking these shadows with the rear-mounted camera which is already present in the FTIR setup, users can control multiple cursors without touching the table and trigger a "click" event by tapping the surface with any finger of the corresponding hand.

An informal evaluation with 15 subjects found an improvement in accuracy when compared to an unaugmented touch screen.


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
Smart Technologies. SMART Board. http://www.smarttech.com/Smart Board.
 
2
F. Echtler. Shadow tracking demonstration video. http://campar.in.tum.de/personal/echtler/avi08--shadowtrack.avi.
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R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, second edition, 2004.
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Collaborative Colleagues:
Florian Echtler: colleagues
Manuel Huber: colleagues
Gudrun Klinker: colleagues