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Design and Implementation of User Centered Interface on Mobile Phone

Hoa-minh LE, Kwang-jin HONG, Kee-chul JUNG

 

Department of Media, Soongsil University, Seoul 156-743, Korea

 

Abstract-Mobile device research has been increasing rapidly i n Human Computer Interaction (HCI) recently. Following this trend, this paper pr oposes a user-centered interface, which has been designed, completely installed  and independently run on a mobile phone. Video signal is streamed through its c amera as the image input to the interface by employing techniques of image proce ssing, computer vision and graphics to identify automatically absolute positions  of human face, neck and two hands. A paradigm is also put up theoretically. And  it embeds this interface to perceive the human postures and convert them into r elaxed comic character according to its context.

 

Key words-user-centered interface; human postures; com ic character

 

Manuscript Number: 1674-8042(2010)04-0330-04

 

dio: 10.3969/j.issn.1674-8042.2010.04.07

 

References

 

[1]J.O.Wobbrock, 2006. The future of mobile device research in HCI. Pr oc. of the workshop on “What is the Next Generation of Human-Computer Interact ion?” at CHI 2006 Montreal, Canada, p.131-134.

[2]K.Y.Huang, 2009. Challenges in Human-Computer Interaction Design f or Mobile Devices,. Proc. of the World Congress on Engineering and Computer Scie nce WCECS, San Francisco, USA.

[3]P.Viola, M.Jones, 2004. Robust real-time face detection.  International Journal of Computer Vision, 57(2): 137-154.

[4]G.Gomez, E.Morales, 2002. Automatic Feature Construction and a Simpl e Rule Induction Algorithm for Skin Detection. Proc. of Workshop on Machine Lear ning in Computer Vision, p.31-38.

[5]P.Kakumanu, S.Makrogiannis, N.Bourbakis, 2007. A survey of skin-col or modeling and detection methods. Pattern Recognition, 40(3) : 1106-1122.

[6]J.B.MacQueen, 1967. Some Methods for classification and Analysis of  Multivariate Observations. Proc. of 5-th Berkeley Symposium on Mathematical Sta tistics and Probability, Berkeley, University of California Press, p.281-297.

[7]M.Sáenz, P.Salama, K.Shen, E.J.Delp, 1999. An Evaluation of Color E mbedded Wavelet Image Compression Techniques. Proc. of the SPIE/IS&T Conference  on Visual Communications and Image Processing (VCIP), San Jose, California, p.28 2-293.

[8]K.Jack, 1996. Video Demystified. 2nd ed., HighText.

[9]C.A.Poynton, 1996. A Technical Introduction to Digital Video. John W iley & Sons.

[10]H.Huttenrauch, M.Norman, 2001. PocketCERO-mobile interfaces for se rvice robots. Proc. of MobileHCI′01, IHM-HCI, Lille, France.

[11]S.Behnke, J.Stückler, H.Strasdat, M.Schreiber, 2007. Hierarchical  Reactive Control for Soccer Playing Humanoid Robots,. M. Hackel (editor): Humano id Robots: Human-like Machines, I-Tech, p.625-642.

[12]S.Calinon, A.Billard, 2003. PDA Interface for Humanoid Robots,. Pro c. of the IEEE International Conference on Humanoid Robots (Humanoids), Karlsruh e, Germany.

[13]W.Kacalak, M.Majewski, 2009. Natural Language Human-Robot Interfac e Using Evolvable Fuzzy Neural Networks for Mobile Technology,. ICIC 2009, LNCS  5754, Springer-Verlag Berlin Heidelberg, p.480-489.

[14]R. Meier, 2009. Professional Android? Application Development. Wile y Publishing, Inc.

[15]R.Ballagas, J.Borchers, M.Rohs, J.G.Sheridan, 2006. The smart phone : A ubiquitous input device. IEEE Pervasive Computing, 5(1):
70-77.

 

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