| TinyMotion: camera phone based interaction methods |
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Conference on Human Factors in Computing Systems
archive
CHI '06 extended abstracts on Human factors in computing systems
table of contents
Montréal, Québec, Canada
SESSION: alt.chi
table of contents
Pages: 339 - 344
Year of Publication: 2006
ISBN:1-59593-298-4
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Downloads (6 Weeks): 9, Downloads (12 Months): 78, Citation Count: 9
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ABSTRACT
This paper presents TinyMotion, a pure software approach that detects the movements of cell phones in real time by analyzing image sequences captured by the built-in camera. Typical movements that TinyMotion detects include - horizontal and vertical movements, rotational movements and tilt movements. In contrast to earlier work, TinyMotion does not require additional sensors, special scenes or backgrounds and can run on today's main-stream camera phones without hardware modification. We describe the design and implementation of TinyMotion and analyze the potential interactions that can leverage TinyMotion. Three applications and two games were created to test TinyMotion. Benchmarking results and usability study show that TinyMotion can detect camera movement reliably under most background and illumination conditions.
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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BREW (Binary Runtime Environment for Wireless), Qualcomm Corp, http://brew.qualcomm.com
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Camera Phone Market Continues to Boom - 200% Growth in Annual Shipments, http://www.instat.com/press.asp?ID=1181&sku=IN0401703WH
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Beverly L. Harrison , Kenneth P. Fishkin , Anuj Gujar , Carlos Mochon , Roy Want, Squeeze me, hold me, tilt me! An exploration of manipulative user interfaces, Proceedings of the SIGCHI conference on Human factors in computing systems, p.17-24, April 18-23, 1998, Los Angeles, California, United States
[doi> 10.1145/274644.274647]
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Ken Hinckley , Jeff Pierce , Mike Sinclair , Eric Horvitz, Sensing techniques for mobile interaction, Proceedings of the 13th annual ACM symposium on User interface software and technology, p.91-100, November 06-08, 2000, San Diego, California, United States
[doi> 10.1145/354401.354417]
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Rohs, M., Zweifel, P., A Conceptual Framework for Camera Phone-based Interaction Techniques, In Proc PERVASIVE 2005
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SemaCode, http://semacode.org/.
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CITED BY 9
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Simon Kerr , Hannah Thinyane , Greg Foster, Mobile phone performance analysis for camera based visual interactions, Proceedings of the 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, p.80-86, October 12-14, 2009, Vanderbijlpark, Emfuleni, South Africa
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Matthew R. Scott , Wei Jiang , Xing Xie , Jonathan Tien , Gang Chen , Dong Xiang, VISIADS: a vision-based advertising platform for camera phones, Proceedings of the 2009 IEEE international conference on Multimedia and Expo, p.1833-1834, June 28-July 03, 2009, New York, NY, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Input devices and strategies (e.g., mouse, touchscreen)
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Theory and methods
Keywords:
camera phones,
computer vision,
input methods,
mobile devices,
mobile phones,
motion estimation
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