Yıl: 2010 Cilt: 18 Sayı: 2 Sayfa Aralığı: 185 - 196 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

An RFID based indoor tracking method for navigating visually impaired people

Öz:
This paper tackles the RFID based tracking problem in an obscured indoor environment. The proposed solution is an integral part of a navigation aid for guiding visually impaired people in a store. It uses RF signal strengths and is based on the Bayes Decision Theory. An observation vector is formed by received radio signal strength indication values, transmitted from three transmitters at distinct frequencies in the UHF band. The indoor area is divided into square grids, where each grid is considered as a class. The problem of tracking is expressed as classifying the observed radio signal strengths to the most likely class. A classification rule is formulated by incorporating a priori assumptions appropriate for the studied model. The proposed approach is tested in a laboratory environment. The results prove that the proposed approach is promising in tracking especially when the tracked person is guided by a system.
Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] L. Ran, A. Helal, S. E. Moore, “Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service”, Proc. 2nd IEEE Annual Conference on Pervasive Computing and Communications, pp. 23-30, 2004.
  • [2] T. Strothotte, H. Petrie, V. Johnson, L. Reichet, “MoBIC: An Aid to Increase the Independent Mobility of Blind and Elderly Travellers”, 2nd TIDE Congress, Paris, La Villette, 26 - 28 April 1995.
  • [3] P. Blenkhorn, D.G. Evans, “A System for Enabling Blind People to Identify Landmarks: The Sound Buoy”, IEEE Trans. on Rehab. Eng., vol. 5, no. 3, pp. 276-278, 1997.
  • [4] Y. Sonnenblick, “An Indoor Navigation System for Blind Individuals”, Technology and Persons with Disabilities Conference, 1998. url:http://www.dinf.ne.jp/doc/english/Us Eu/conf/csun 98/csun98 008.htm.
  • [5] S. Willis, S. Helal, “RFID Information Grid for Blind Navigation and Wayfinding”, 9th IEEE Int’l Symposium on Wearable Computers, 2005.
  • [6] T. Roos, P. Myllymaki, H. Tirri, “A Statistical Modelling Approach to Location Estimation”, IEEE Trans on Mobile Computing, vol. 11, no.1, pp. 59-69, 2002.
  • [7] K. Azuma, K. Matsumoto, T. Hattori, “A Proposal of Location Estimation with Maximum Likelihood Function Using Joint PDF of Received Signals and Prior Measured Signals”, IEEE 3rd Vehicular Technology Conference, vol. 2, pp. 599-602, 2006.
  • [8] W.W. Shen, Z.X. Fang, Z.X. Wang, “Two-Step Multi-user Indoor Location Estimation Based on Bayesian Approach” 2nd International Conference on Mobile Technology, Applications and Systems, 2005.
  • [9] D. Madigan, E. Elnahrawy, R.P. Martin, W. Ju, P. Krishnan, A.S. Krishnakumar,”Bayesian Indoor Positioning Sytems”, IEEE Infocom, March 2005.
  • [10] Y. Takizawa, P. Davis, M. Kawai, H. Iwai, A. Yamaguchi, S. Obana, “Self-organizing location estimation method using received signal strength”, IEICE Trans. Com., vol. E89-B, no.10, pp. 2687-2695, October 2006.
  • [11] N. Priyantha., A. Miu, H. Balakrishnan, S. Teller, “The Cricket Compass for Context Aware Mobile Applications”, MOBICOM 2001, July 2001.
  • [12] S. Ito, N. Kawaguchi, “Bayesian Based Location Estimation System Using Wireless LAN”, 3rd IEEE Int’l Conf. on Pervasive Computing and Communications Workshops, pp. 273-278, 2005.
  • [13] A.A. Rodriquez, M. Lazaro, L. Tong, “Target Location Estimation in Sensor Networks Using Range Information”, IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 608-612, 2004.
  • [14] A.M. Ladd, K. E. Bekris, A.P. Rudys, D.S. Wallach, L.E. Kavraki, “On the Feasibility of Using Wireless Ethernet for Indoor Localization”, IEEE Transactions on Robotics and Automation, vol. 20, no. 3, pp. 555-559, June 2004.
  • [15] K. Muthukrishnan, M. Lijding, and P. Havinga, “Towards Smart Surroundings: Enabling Techniques and Technologies for Localization”, 1st International Workshop on Location and Context Awareness, pp. 350-362, Oberpfaffenhofen, Germany, 2005.
  • [16] N. Raza, V. Bradshaw, M. Hague, “Applications of RFID Technology”, IEE Colloquium on RFID Technology, pp. 1-5, 1999.
  • [17] L.M. Ni, Y. Liu., Y.C. Lau, A.P. Patil, “LANDMARC: Indoor Location Sensing Using Active RFID”, Special Issue on Pervasive Computing and Communications, vol.10, pp. 701-710, Kluwer Academic Publisher, 2004.
  • [18] W.K Tam, V.N. Tran, “Propagation Modeling for Indoor Wireless Communication”, Electronics and Comm. Eng. Journal, pp. 221-228, October 1995.
  • [19] K.S. Leong, M.L. Ng, P.H. Cole “The Reader Collision Problem in RFID Systems”, IEEE Int’l Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, pp. 658-661, 2005.
  • [20] M. Robinson, I. Psaromiligkos, “Received Signal Strength Based Location Estimation of a Wireless LAN Client”, IEEE Communications Society, pp. 2350-2354, 2005.
  • [21] K. M-K. Chu, J. K-Y. Ng, K.R.P.H Leung, “A New Approach for Locating Mobile Stations Under the Statistical Directional Propagation Model”, 20th Int’l Conf. on Advanced Information Networking and Applications, vol. 1, pp. 932-940, 18-20 April 2006.
  • [22] P. Bahl, V.N. Padmanahban, “RADAR: An In Building RF-based User Location and Tracking System”, IEEE INFOCOM, vol.2, pp.775-784, March 2000.
  • [23] S. Theodoridis, K. Koutroumbas, Pattern Recognition, Third Edition, Academic Press, 2006.
APA ÖKTEM R, AYDIN E (2010). An RFID based indoor tracking method for navigating visually impaired people. , 185 - 196.
Chicago ÖKTEM Ruşen,AYDIN Elif An RFID based indoor tracking method for navigating visually impaired people. (2010): 185 - 196.
MLA ÖKTEM Ruşen,AYDIN Elif An RFID based indoor tracking method for navigating visually impaired people. , 2010, ss.185 - 196.
AMA ÖKTEM R,AYDIN E An RFID based indoor tracking method for navigating visually impaired people. . 2010; 185 - 196.
Vancouver ÖKTEM R,AYDIN E An RFID based indoor tracking method for navigating visually impaired people. . 2010; 185 - 196.
IEEE ÖKTEM R,AYDIN E "An RFID based indoor tracking method for navigating visually impaired people." , ss.185 - 196, 2010.
ISNAD ÖKTEM, Ruşen - AYDIN, Elif. "An RFID based indoor tracking method for navigating visually impaired people". (2010), 185-196.
APA ÖKTEM R, AYDIN E (2010). An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences, 18(2), 185 - 196.
Chicago ÖKTEM Ruşen,AYDIN Elif An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences 18, no.2 (2010): 185 - 196.
MLA ÖKTEM Ruşen,AYDIN Elif An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences, vol.18, no.2, 2010, ss.185 - 196.
AMA ÖKTEM R,AYDIN E An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences. 2010; 18(2): 185 - 196.
Vancouver ÖKTEM R,AYDIN E An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences. 2010; 18(2): 185 - 196.
IEEE ÖKTEM R,AYDIN E "An RFID based indoor tracking method for navigating visually impaired people." Turkish Journal of Electrical Engineering and Computer Sciences, 18, ss.185 - 196, 2010.
ISNAD ÖKTEM, Ruşen - AYDIN, Elif. "An RFID based indoor tracking method for navigating visually impaired people". Turkish Journal of Electrical Engineering and Computer Sciences 18/2 (2010), 185-196.