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The User Identification System using the ubiFloor  

Lee Seunghun (한국항공우주연구원)
Yun Jaeseok (광주과학기술원 기전공학과)
Ryu Jeha (광주과학기술원 기전공학과)
Woo Woontack (광주과학기술원 정보통신학과)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.4, 2005 , pp. 258-267 More about this Journal
Abstract
We propose the ubiFloor system to track and recognize users in ubiquitous computing environments such as ubiHome. Conventional user identification systems require users to carry tag sensors or use camera-based sensors to be very susceptible to environmental noise. Though floor-type systems may relieve these problems, high cost of load cell and DAQ boards makes the systems expensive. We propose the transparent user identification system, ubiFloor, exploiting user's walking pattern to recognize the user with a set of simple ON/OFF switch sensors. The experimental results show that the proposed system can recognize the 10 enrolled users at the correct recognition rate of $90\%$ without users' awareness of the system.
Keywords
ubiFloor; Walking Pattern; User Tracking; User Identification;
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1 J. Yun, S. Lee, W. Woo, and J. Ryu, The User Identification System Using Walking Pattern over the ubiFloor, ICCAS, 1046-1050, 2003
2 Howard Demuth and Mark Beale, Neural Network Toolbox: For use with MATLAB: User's Guide, The Mathworks, 1993
3 Masters, T., Advanced Algorithms for Neural Networks: A C++ Sourcebook, NY: John Wiley and Sons, 1995
4 Seunghun Lee, Woontack Woo, The Interactive Dancing Floor: The Smart Floor Plays Music, WIAMIS 2003, pages 328-331, London, U.K, April 2003   DOI
5 M. D. Addlesee, A. Jones, F. Livesez, F. Samaria, The ORL Active Floor, IEEE Personal Communications, October 1997   DOI   ScienceOn
6 A. Harter, A. Hopper, P. Steggles, A. Ward, P. Webster, The Anatomy of a Context-Aware Application, ACM Mobicom, August 1999
7 ZR. J. Orr, G. D. Abowd, The smart floor: A mechanism for natural user identification and tracking, Conference on Human Factors in Computing Systems, April 2000
8 A. Kale, A Sundaresan, A. N. Rajagopalan, N. P. Cuntoor, A. K. Roy-Chowdhury, V. Kruger, R. Chellappa, Identification of Humans Using Gait, IEEE Image Processing, September 2004   DOI   ScienceOn
9 M. S. Nixon, J. N. Carter, Advances in Automatic Gait Recognition, IEEE International Conference on Automatic Face and Gesture Recognition, 2004   DOI
10 A. Harter, A. Hopper, A Distributed Location System for the Active Office, IEEE Network, January 1994   DOI   ScienceOn
11 P. Bahl and V. Padmanabhan, 'RADAR: An In-Building RF-Based User Location and Tracking System,' IEEE Infocom 2000, pp. 775-784, 2000   DOI
12 A. K. Jain, L. Hong, S. Pankanti, Biometrics: Promising frontiers for emerging identification market, ACM Communications, 2000
13 A. K. Jain, A. Ross, S. Prabhakar, An Introduction to Biometric Recognition, IEEE Circuits and Systems for Video Technology, January 2004   DOI   ScienceOn
14 A. K. Jain, S. Pankanti, S. Prabhakar, L. Hong, A. Ross, J. L. Wayman, Biometrics: A Grand Challenge, Internatial Conference on Pattern Recognition, August 2004