ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
TinyMotion: camera phone based interaction methods
Full text PdfPdf (1.23 MB)
Source 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
Authors
Jingtao Wang  UC Berkeley, Berkeley, CA
John Canny  UC Berkeley, Berkeley, CA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 78,   Citation Count: 9
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1125451.1125526
What is a DOI?

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.

 
1
BREW (Binary Runtime Environment for Wireless), Qualcomm Corp, http://brew.qualcomm.com
 
2
Camera Phone Market Continues to Boom - 200% Growth in Annual Shipments, http://www.instat.com/press.asp?ID=1181&sku=IN0401703WH
3
 
4
5
 
6
 
7
Rohs, M., Zweifel, P., A Conceptual Framework for Camera Phone-based Interaction Techniques, In Proc PERVASIVE 2005
 
8
SemaCode, http://semacode.org/.
9
10

CITED BY  9

Collaborative Colleagues:
Jingtao Wang: colleagues
John Canny: colleagues