DocumentCode
599090
Title
Building smart cameras on mobile tablets for hand gesture recognition
Author
Xiang Meng ; Chung-Ming Cheung ; Ka-Lok Ho ; King-Shan Lui ; Lam, Edmund Y. ; Tam, Vincent
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
fYear
2012
fDate
Oct. 30 2012-Nov. 2 2012
Firstpage
1
Lastpage
5
Abstract
Mobile tablets have become very popular due to their portability and the wide diversity of the applications available. The touch screens and built-in accelerometers facilitate different forms of input instead of keyboards and mice. Nowadays, high-resolution cameras become a standard feature in a mobile device. Nevertheless, this camera is seldom considered to serve as a form of user inputs to the application, although similar technology is realized in some home entertainment systems. This paper describes our experience on making a smart camera on an iPad that can recognize pre-defined hand gestures. We study the time performance of performing image processing on an iPad. We find that due to the limited computational power of the mobile device, recognition results may not be available fast enough for a real-time application. We explore applying cloud computing to solve the problem. To the best of our knowledge, this is the first study on recognizing hand gestures on an iPad. Our results facilitate the development of a brand new type of applications that require smart cameras.
Keywords
accelerometers; cloud computing; gesture recognition; image sensors; mobile computing; touch sensitive screens; built-in accelerometers; cloud computing; high-resolution cameras; home entertainment systems; iPad; image processing; mobile device; mobile tablets; predefined hand gesture recognition; smart cameras building; touch screens; Cameras; Cloud computing; Mobile communication; Servers; Skin; Tablet computers; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Smart Cameras (ICDSC), 2012 Sixth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4503-1772-6
Type
conf
Filename
6470122
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