Ubiquitous Positioning: Integrated GPS/Wireless LAN Positioning for Wheelchair Navigation System

  • Wan Mohd Yaakob Wan Bejuri
  • Wan Mohd Nasri Wan Muhamad Saidin
  • Mohd Murtadha Bin Mohamad
  • Maimunah Sapri
  • Kah Seng Lim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7802)


The location determination in obstructed area can be very challenging especially when the Global Positioning System is blocked. Disable users will find it difficult to navigate directly on-site in such condition, particularly in obstructed environment. Sometimes, it needs to integrate with other sensors and positioning methods in order to determine the location with more intelligent, reliable and ubiquity. By using ubiquitous positioning, it provides the location technique inside the wheelchair navigation system that needed for disable people. In this paper, we utilizes the integration of wireless local area network and the Global Positioning System which receive signal strength from access point and at the same time, it retrieve Global Navigation System Satellite signal. This positioning information will be switched based on type of environment in order to ensure the ubiquity of wheelchair navigation system. Finally, we present our results by illustrating the performance of the system for an indoor/ outdoor environment set-up.


Global Navigation System Wireless LAN and Wheelchair Navigation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Benini, A., Mancini, A., Longhi, S.: An IMU/UWB/Vision-based Extended Kalman Filter for Mini-UAV Localization in Indoor Environment using 802.15. 4a Wireless Sensor Network. Journal of Intelligent & Robotic Systems, 1–16 (2012)Google Scholar
  2. 2.
    Dhital, A., Closas, P., Fernández-Prades, C.: Bayesian filtering for indoor localization and tracking in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking 2012(1), 21 (2012)CrossRefGoogle Scholar
  3. 3.
    Ren, M., Karimi, H.A.: Movement Pattern Recognition Assisted Map Matching for Pedestrian/Wheelchair Navigation. The Journal of Navigation 65(04), 617–633 (2012)CrossRefGoogle Scholar
  4. 4.
    Niitsuma, M., Ochi, T., Yamaguchi, M., Iwamot, K.: Design of Mutual Interaction Between a User and Smart Electric Wheelchair. Journal of Advanced Computational Intelligence and Intelligent Informatics 16(2), 305–312 (2012)Google Scholar
  5. 5.
    Zhang, L., Sun, S., Huang, Y., Zhu, Y., Shi, J.: Research on obstacle avoidance system of intelligent wheelchair. Journal of Electronic Measurement and Instrument 12, 003 (2011)Google Scholar
  6. 6.
    Boulos, M.K., Berry, G.: Real-time locating systems (RTLS) in healthcare: a condensed primer. International Journal of Health Geographics 11(1), 25 (2012)CrossRefGoogle Scholar
  7. 7.
    Abascal, J., Lafuente, A., Marco, A., Falco, J.M., Casas, R., Sevillano, J.L., Cascado, D., Lujan, C.: An architecture for assisted navigation in intelligent environments. International Journal of Communication Networks and Distributed Systems 4(1), 49–69 (2010)CrossRefGoogle Scholar
  8. 8.
    Bejuri, W.M.Y.W., Mohamad, M.M., Sapri, M.: Ubiquitous positioning: A Taxonomy for Location Determination on Mobile Navigation System. Signal & Image Processing: An International Journal (SIPIJ) 2(1), 24–34 (2011)CrossRefGoogle Scholar
  9. 9.
    Bejuri, W.M.Y.W., Mohamad, M.M., Sapri, M., Rosly, M.A.: Investigation of Color Constancy for Ubiquitous Wireless LAN/Camera Positioning: An Initial Outcome. International Journal of Advancements in Computing Technology 4(7), 269–280 (2012)CrossRefGoogle Scholar
  10. 10.
    Bejuri, W.M.Y.W., Mohamad, M.M., Sapri, M., Rosly, M.A.: Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity Space-based Feature Detection and Matching: A Preliminary Result. Presented at the International Conference on Man-Machine Systems 2012, ICOMMS 2012, Penang, Malaysia (2012)Google Scholar
  11. 11.
    Bejuri, W.M.Y.W., Mohamad, M.M., Sapri, M., Rosly, M.A.: Performance Evaluation of Mobile U-Navigation based on GPS/WLAN Hybridization. Journal of Convergence Information Technology 7(12), 235–246 (2012)CrossRefGoogle Scholar
  12. 12.
    Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based user location and tracking system. In: Proceedings of the Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2000, vol. 2, pp. 775–784. IEEE (2000)Google Scholar
  13. 13.
    Youssef, M.A., Agrawala, A., Udaya Shankar, A.: WLAN location determination via clustering and probability distributions. In: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, PerCom 2003, pp. 143–150 (2003)Google Scholar
  14. 14.
    Castro, P., Chiu, P., Kremenek, T., Muntz, R.: A Probabilistic Room Location Service for Wireless Networked Environments. In: Abowd, G.D., Brumitt, B., Shafer, S.A.N. (eds.) UbiComp 2001. LNCS, vol. 2201, pp. 18–34. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  15. 15.
    Barnes, J., Rizos, C., Wang, J., Small, D., Voigt, G., Gambale, N.: Locata: the positioning technology of the future. In: Proceedings of the 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning and Location Services (July 2003)Google Scholar
  16. 16.
    Yim, J., Ko, I., Do, J., Joo, J., Jeong, S.: Implementation of a Prototype Positioning System for LBS on U-campus. Journal of Universal Computer Science 14(14), 2381–2399 (2008)Google Scholar
  17. 17.
    Wettschereck, D., Dietterich, T.G.: An experimental comparison of the nearest-neighbor and nearest-hyperrectangle algorithms. Machine Learning 19(1), 5–27 (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wan Mohd Yaakob Wan Bejuri
    • 1
  • Wan Mohd Nasri Wan Muhamad Saidin
    • 1
  • Mohd Murtadha Bin Mohamad
    • 1
  • Maimunah Sapri
    • 2
  • Kah Seng Lim
    • 1
  1. 1.Faculty of ComputingUniversitiTeknologi MalaysiaMalaysia
  2. 2.Centre of Real Estate StudiesUniversitiTeknologi MalaysiaMalaysia

Personalised recommendations