Wireless Personal Communications

, Volume 59, Issue 1, pp 57–71 | Cite as

Robust System for Indoor Localisation and Identification for the Health Care Environment

  • Antti RopponenEmail author
  • Henry Rimminen
  • Raimo Sepponen
Open Access


In this study, an improved version of the low-frequency indoor location system, with a larger detection range and more durable antenna laminate, is presented. The basic system uses quad antennas, placed under the floor surface, to locate tags with 125-kHz radio signals. The improvements were achieved with a one-layer laminate construction and transmitter electronics that can feed larger currents to the antennas. The measured tag detection height was 2 m, which is adequate for location applications. The low-frequency signal was not affected by normal objects. The tag location reliability of 96.3% was verified with a practical test.


Indoor location Low frequency Near field imaging Signal penetration 


Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.


  1. 1.
    Hightower J., Borriello G. (2001) Location systems for ubiquitous computing. Computer 34(8): 57–66CrossRefGoogle Scholar
  2. 2.
    Krumm, J., Harris S., Meyers, B., Brumitt, B., Hale, M., & Shafer, S. (2000). Multi-camera multi-person tracking for easyLiving. In Proceedings of the third IEEE international workshop on visual surveillance (VS’2000).Google Scholar
  3. 3.
    Harville M. (2004) Stereo person tracking with adaptive plan-view templates of height and occupancy statistics. Image Vision Computer 22(2): 127–142MathSciNetCrossRefGoogle Scholar
  4. 4.
    Addlesee M. D., Jones A., Livesey F., Samaria F. (1997) The ORL active floor. IEEE Personal Communications 5(4): 35–41CrossRefGoogle Scholar
  5. 5.
    Orr, R. J., & Abowd, G. D. (2000). The smart floor: A mechanism for natural user identification and tracking. In Conference on human factors in computing systems (CHI 2000) (pp. 1–6). The Hague: Netherlands (April).Google Scholar
  6. 6.
    Lekkala, J., & Paajanen, M. (1999). EMFi—new electret material for sensors and actuators. In Proceedings of the IEEE. 10th international symposium on electrets (pp. 743–746).Google Scholar
  7. 7.
    Zimmerman T. G. (1996) Personal area networks: Near-field intrabody communication. IBM Systems Journal 35(3 & 4): 609–617CrossRefGoogle Scholar
  8. 8.
    Savio, D. & Ludwig, T. (2007). Smart carpet: A footstep tracking interface. In Proceedings 21st International conference on advanced information networking and applications workshops, AINAW ’07 (pp. 754–760). Niagara Falls: Canada.Google Scholar
  9. 9.
    Rimminen, H., Linnavuo, M., & Sepponen, R. (2008). Human tracking using near field imaging. In 2nd International conference on pervasive computing technologies for healthcare.Google Scholar
  10. 10.
    Valtonen, M., Mäentausta, J., & Vanhala, J. (2009). Tiletrack: Capacitive human tracking using floor tiles. In 7th Annual IEEE international conference on pervasive computing and communications (PerCom 2009).Google Scholar
  11. 11.
    BenAbdelkader, C., Cutler, R., & Davis, L. (2002). Stride and cadence as a biometric in automatic person identification and verification. In Proceedings fifth IEEE international conference on automatic face and gesture recognition (pp. 372–377). Washington, D.C. (May 21 2002).Google Scholar
  12. 12.
    Williams, M. (2007). Better face-recognition software. Technology Review (30 May 2007).Google Scholar
  13. 13.
    Want R., Hopper A., Falcao V., Gibbons J. (1992) The active badge location system. ACM Transaction on Information Systems 10(1): 91–102CrossRefGoogle Scholar
  14. 14.
    Cheok A. D., Li Y. (2008) Ubiquitous interaction with positioning and navigation using a novel light sensor-based information transmission system. Personal and Ubiquitous Computing 12(6): 445–458CrossRefGoogle Scholar
  15. 15.
    Priyantha, N. B. (2005). The cricket indoor location system, Doctoral Thesis. Massachusetts institute of technology: Department of Electrical Engineering and Computer Science (June 2005).Google Scholar
  16. 16.
    Hazas, M., & Ward, A. (2002). A novel broadband ultrasonic location system, Lecture notes in computer science. Springer Berlin:Heidelberg (2498/2002, Jan 2002).Google Scholar
  17. 17.
    Hori T., Nishida Y., Aizawa H., Murakami S., Mizoguchi H. (2004) Sensor network for supporting elderly care home. Proceedings of IEEE Sensors 2: 575–578CrossRefGoogle Scholar
  18. 18.
    Harter A., Hopper A., Steggles P., Ward A., Webster P. (2002) The anatomy of a context-aware application. Wireless Networks 2(2): 187–197CrossRefGoogle Scholar
  19. 19.
    Hii, P., & Zaslavsky A. (2005). Improving location accuracy by combining WLAN positioning and sensor technology, Workshop on real-world wireless sensor networks (REALWSN’0) pp. 20–21. Stockholm: Sweden (June).Google Scholar
  20. 20.
    Cho, H., Kang, M., Park, J., Park, B. & Kim, H. (2007). Performance analysis of location estimation algorithm in zigBee networks using received signal strength. In Proceedings 21st international conference on advanced information networking and applications workshops (AINAW’07) (pp. 302–306). Niagara Falls: Canada (May 21–23).Google Scholar
  21. 21.
    Hihnel, D., Burgard, W., Fox, D., Fishkin, K., & Philipose, M. (2004). Mapping and localization with LFID technology. In Proceedings IEEE international conference on robotics & Automation (pp. 1015–1020) New Orleans, LA (April).Google Scholar
  22. 22.
    Willis, S. & Helal, S. (2005). LFID information grid for blind navigation and wayfinding. In Proceedings ninth IEEE international symposium on wearable computers (ISWC’05) (pp. 34–37). Osaka, Japan (Oct. 18–21).Google Scholar
  23. 23.
    Blomme, E., Bulcaen, D., Declercq, F., & Lust, P. (2002). Air-coupled ultrasonic evaluation of coated textiles. In Ultrasonics symposium, 2002. Proceedings. 2002 IEEE , 1, 757–760 (8–11 Oct. 2002).Google Scholar
  24. 24.
    DuChateau, J. E. (2005). Using ultrasound in concealed weapons detection, senior Thesis. NDE Lab, Department of Applied Science, College of William and Mary: Williamsburg, VA (pp. 15–20). (April 2005).Google Scholar
  25. 25.
    Rimminen H., Lindström J., Sepponen R. (2009) Positioning accuracy and multi-target separation with a human tracking system using near field imaging. International Jornal on Smart Sensing and Intelligent Systems 2(1): 156–175Google Scholar
  26. 26.
    Oksanen, R., Paldanius, S., Nykänen, J., Linnavuo, M., Raivio, K., Segerstam, K. E., Sepponen, R., Pohjola, L., & Finne-Soveri, H. (2009). Testing and adopting floor-sensor solutions in daily practice for patient safety in Kustaankartano nursing home. The Journal of Nutrition, Health and Aging, 13 (supplement 1), 361 (Jul. 2009 [abstract]) and at 19th IAGG world congress of gerontology and geriatrics Paris, France 2009 [poster].Google Scholar
  27. 27.
    Abowd G. D., Atkeson C. G., Hong J., Long S., Kooper R., Pinkerton M. (1997) Cyberguide: A mobile context-aware tour guide. Wireless Networks 3(5): 421–433CrossRefGoogle Scholar
  28. 28.
    Thrun S., Bennewitz M., Burgard W., Cremers A. B., Dellaert F., Fox D., Hähnel D., Rosenberg C., Roy N., Schulte J., Schulz D. (1999) MINERVA: A second-generation Museum tour-guide robot. Proceedings—IEEE International Conference on Robotics and Automation 3: 1999–2005Google Scholar
  29. 29.
    Linnavuo, M., & Rimminen, H. (2010). Localization and monitoring of people with a near-field imaging system: Boosting the elderly care. In Pervasive and smart technologies for healthcare: Ubiquitous methodologies and tools pp. 78–96.Google Scholar
  30. 30.
    Linnavuo, M., Ojapelto, A., & Sepponen, R. (2009). A proactive space for rehabilitation, gaming and multimodal interaction: A poster presentation. In Proceedings of the 13th international mindTrek conference: Everyday life in the Ubiquitous Era (p. 213).Google Scholar
  31. 31.
    Finkenzeller, K. (2003). RFID Handbook—fundamentals and applications in contactless smart cards and identification Second Edition. John Wiley & Sons.Google Scholar
  32. 32.
    Dobkin D.M. (2008) The RF in RFID: Passive UHF RFID in practice. Elsevier Inc. (p. 72), Burlington, MA, p 25Google Scholar
  33. 33.
    Ropponen, A., Linnavuo, M., & Sepponen, R. (2009). LF indoor location and identification system. International Journal on Smart Sensing and Intelligent System, 2(1), 94–117 (March 2009).Google Scholar
  34. 34.
    Analog Devices ADG706/ADG707 datasheet. (2002). Analog Devices Inc: Norwood, Maine (2002).Google Scholar
  35. 35.
    Rautio J. C., Demir V. (2003) Microstrip conductor loss models for electromagnetic analysis. IEEE Transactions on Microwave Theory and Techniques 51(3): 915–921CrossRefGoogle Scholar
  36. 36.
    Johns, D. A., & Martin, K. (1997). Analog integrated circuit design. John Wiley and Sons, Inc.Google Scholar

Copyright information

© The Author(s) 2010

Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Antti Ropponen
    • 1
    Email author
  • Henry Rimminen
    • 1
  • Raimo Sepponen
    • 1
  1. 1.Department of ElectronicsAalto UniversityAaltoFinland

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