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Overview of Indoor Positioning Technologies for Context Aware AAL Applications

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Book cover Ambient Assisted Living

Abstract

Many AAL scenarios, such as those found in the public-funded German R&D project SmartSenior, are based on location information about a person, which makes the position key context information. Previous papers have dealt with the design of a SmartSenior positioning system for emergency scenarios, both indoors and outdoors. This paper focuses on non-critical non-emergency scenarios, e.g., activity recognition and indoor navigation. We present the state-of-the-art in indoor positioning and the current research trend towards including additional sensor information to achieve positioning enhancements and gather more context information. After introducing a few interesting scenarios, we present a guideline on how indoor positioning can be classified in technical ways and also in more abstract ways. We also define metrics (accuracy, costs, privacy, context information) which we then use to evaluate the current state-of-the-art research. Based on this evaluation, we discuss possible solutions for the previously presented scenarios.

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References

  1. Kruppa, M.: Benutzer-Lokalisierung in unterschiedlichen Umgebungen. In: Ambient Assisted Living 2010 (2010)

    Google Scholar 

  2. Hui, L., Houshang, D., Pat, B., Jing, L.: Survey of wireless Indoor Positioning Techniques and Systems (2007)

    Google Scholar 

  3. Hightower, J., Borriello, G.: Location systems for ubiquitous computing. Computer 34, 57–66 (2001)

    Article  Google Scholar 

  4. Küpper, A.: Location-Based Services: Fundamentals and Operation. Wiley, Chichester (2005)

    Book  Google Scholar 

  5. Li, B., Salter, J., Dempster, A.G., Rizos, C.: Indoor positioning techniques based on wireless LAN. In: LAN, First IEEE International Conference on Wireless Broadband and ultra Wideband Communications, pp. 13–16 (2007)

    Google Scholar 

  6. Taylor, J.R.: An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2nd sub edn. University Science Books (1996)

    Google Scholar 

  7. Lee, C.H., Hwang, M.S., Yang, W.P.: Enhanced privacy and authentication for the global system for mobile communications. Wirel. Netw. 5, 231–243 (1999)

    Article  Google Scholar 

  8. Steggles, P., Gschwind, S.: The Ubisense Smart Space Platform. Technical report, Ubisense Limited (2005)

    Google Scholar 

  9. Stelios, M.A., Nick, A.D., Effie, M.T., Dimitris, K.M., Thomopoulos, S.C.A.: An indoor localization platform for ambient assisted living using UWB. In: Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2008, pp. 178–182. ACM, New York (2008)

    Chapter  Google Scholar 

  10. IEEE: IEEE 802.11-2007, wireless lan medium access control (mac) and physical layer (phy) specifications (June 2007)

    Google Scholar 

  11. Ekahau: (2010), http://www.ekahau.com (last viewed on August 1, 2010)

  12. Kraxberger, S., Lackner, G., Payer, U.: WLAN location determination without active client collaboration. In: Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, IWCMC 2010, pp. 1188–1192. ACM, New York (2010)

    Google Scholar 

  13. Baala, O., Zheng, Y., Caminada, A.: Toward environment indicators to evaluate WLAN-based indoor positioning system. In: ACS/IEEE International Conference on Computer Systems and Applications, pp. 243–250 (2009)

    Google Scholar 

  14. Lim, H., Kung, L.C., Hou, J.C., Luo, H.: Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure. Wirel. Netw. 16, 405–420 (2010)

    Article  Google Scholar 

  15. Chan, E.C.L., Baciu, G., Mak, S.C.: Wi-Fi positioning based on fourier descriptors. In: Proceedings of the 2010 International Conference on Communications and Mobile Computing, CMC 2010, Washington, DC, USA, pp. 545–551. IEEE Computer Society, Los Alamitos (2010)

    Chapter  Google Scholar 

  16. Ma, J., Li, X., Tao, X., Lu, J.: Cluster filtered KNN: A WLAN-based indoor positioning scheme. In: Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2008, Washington, DC, USA, pp. 1–8. IEEE Computer Society, Los Alamitos (2008)

    Chapter  Google Scholar 

  17. Kotanen, A., Hännikäinen, M., Leppäkoski, H., Hämäläinen, T.D.: Experiments on local positioning with bluetooth. In: Proceedings of the International Conference on Information Technology: Computers and Communications, ITCC 2003, Washington, DC, USA, p. 297. IEEE Computer Society, Los Alamitos (2003)

    Chapter  Google Scholar 

  18. Bargh, M.S., de Groote, R.: Indoor localization based on response rate of bluetooth inquiries. In: Proceedings of the First ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, MELT 2008, pp. 49–54. ACM, New York (2008)

    Chapter  Google Scholar 

  19. Finkenzeller, K.: RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification. John Wiley & Sons, Inc., New York (2003)

    Google Scholar 

  20. Jensen, C.S., Lu, H., Yang, B.: Graph model based indoor tracking. In: Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009, Washington, DC, USA, pp. 122–131. IEEE Computer Society, Los Alamitos (2009)

    Chapter  Google Scholar 

  21. Choi, H., Son, S., Kim, J., Baek, Y.: Rf-based indoor locating system for nlos environment. In: Proc. 24th IEEE Int. Advanced Information Networking and Applications (AINA) Conf., pp. 628–633 (2010)

    Google Scholar 

  22. Bekkali, A., Sanson, H., Matsumoto, M.: RFID indoor positioning based on probabilistic RFID map and kalman filtering. In: Proc. Third IEEE Int. Conf. Wireless and Mobile Computing, Networking and Communications WiMOB 2007, p. 21 (2007)

    Google Scholar 

  23. Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: LANDMARC: indoor location sensing using active RFID. Wirel. Netw. 10, 701–710 (2004)

    Article  Google Scholar 

  24. Lau, E.E.L., Chung, W.Y.: Enhanced rssi-based real-time user location tracking system for indoor and outdoor environments. In: Proc. Int. Convergence Information Technology Conf., pp. 1213–1218 (2007)

    Google Scholar 

  25. Hsu, C.H., Yu, C.H.: An accelerometer based approach for indoor localization. In: Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, pp. 223–227 (2009)

    Google Scholar 

  26. Woodman, O., Harle, R.: Pedestrian localisation for indoor environments. In: Proceedings of the 10th International Conference on Ubiquitous Computing, UbiComp 2008, pp. 114–123. ACM, New York (2008)

    Chapter  Google Scholar 

  27. Mulloni, A., Wagner, D., Barakonyi, I., Schmalstieg, D.: Indoor positioning and navigation with camera phones. IEEE Pervasive Computing 8, 22–31 (2009)

    Article  Google Scholar 

  28. Lin, T.H., Ng, I.H., Lau, S.Y., Huang, P.: Impact of beacon packet losses to rssi-signature-based indoor localization sensor networks. In: Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009, Washington, DC, USA, pp. 389–390. IEEE Computer Society, Los Alamitos (2009)

    Chapter  Google Scholar 

  29. Lim, Y., Park, J.: Practical indoor positioning system using received signal strength in IEEE 802.15.4 networks. In: International Conference on Computers in Education, pp. 1–2 (2009)

    Google Scholar 

  30. Cheng, Y.M.: Using ZigBee and room-based location technology to constructing an indoor location-based service platform. In: Proceedings of the 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2009, Washington, DC, USA, pp. 803–806. IEEE Computer Society, Los Alamitos (2009)

    Chapter  Google Scholar 

  31. ur Rehman, W., de Lara, E., Saroiu, S.: CILoS: a CDMA indoor localization system. In: Proceedings of the 10th International Conference on Ubiquitous Computing, UbiComp 2008, pp. 104–113. ACM, New York (2008)

    Chapter  Google Scholar 

  32. Ikeda, T., Inoue, Y., Sashima, A., Yamamoto, K., Yamashita, T., Kurumatani, K.: ComPass system: an low power wireless sensor network system and its application to indoor positioning. In: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST 2008, pp. 656–662. ACM, New York (2008)

    Chapter  Google Scholar 

  33. Silverio, C.S., Antonio, I., Antonella, M.: On potentials and limitations of a hybrid WLAN-RFID indoor positioning technique. International Journal of Navigation and Observation (2010)

    Google Scholar 

  34. Corrales, J.A., Candelas, F.A., Torres, F.: Hybrid tracking of human operators using IMU/UWB data fusion by a kalman filter. In: HRI 2008: Proceedings of the 3rd ACM/IEEE International Conference on Human Robot Interaction, pp. 193–200. ACM, New York (2008)

    Chapter  Google Scholar 

  35. Fischer, C., Muthukrishnan, K., Hazas, M., Gellersen, H.: Ultrasound-aided pedestrian dead reckoning for indoor navigation. In: Proceedings of the First ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, MELT 2008, pp. 31–36. ACM, New York (2008)

    Chapter  Google Scholar 

  36. Ishikawa, T., Kourogi, M., Okuma, T., Kurata, T.: Economic and synergistic pedestrian tracking system for indoor environments. In: International Conference of Soft Computing and Pattern Recognition, pp. 522–527 (2009)

    Google Scholar 

  37. Lemieux, N., Lutfiyya, H.: WHLocator: hybrid indoor positioning system. In: ICPS 2009: Proceedings of the, International Conference on Pervasive Services, pp. 55–64. ACM, New York (2009)

    Chapter  Google Scholar 

  38. Subramanian, S.P., Sommer, J., Zeh, F.P., Schmitt, S., Rosenstiel, W.: PBIL PDR for scalable bluetooth indoor localization. In: NGMAST 2009: Proceedings of the 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies, Washington, DC, USA, pp. 170–175. IEEE Computer Society, Los Alamitos (2009)

    Chapter  Google Scholar 

  39. Jung, H.M., Kim, B.K., Lee, W.Y., Ko, Y.W.: ICLS: Intelligent cricket-based location tracking system using sensor fusion. In: ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, pp. 461–466 (2008)

    Google Scholar 

  40. Pei, L., Chen, R., Chen, Y., Leppakoski, H., Perttula, A.: Indoor/outdoor seamless positioning technologies integrated on smart phone. In: International Conference on Advances in Satellite and Space Communications, pp. 141–145 (2009)

    Google Scholar 

  41. Ofstad, A., Nicholas, E., Szcodronski, R., Choudhury, R.R.: Aampl: Accelerometer augmented mobile phone localization. In: ACM MELT (2008)

    Google Scholar 

  42. Guillemette, M.G., Fontaine, I., Caron, C.: Hybrid RFID-GPS real-time location system for human resources: Development, impacts and perspectives. In: Hawaii International Conference on System Sciences, p. 406 (2008)

    Google Scholar 

  43. Azizyan, M., Constandache, I., Roy Choudhury, R.: SurroundSense: mobile phone localization via ambience fingerprinting. In: MobiCom 2009: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, pp. 261–272. ACM, New York (2009)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Corporate Technology, GTF SA&P, Siemens AG, 80200, Muenchen, Germany

    Corina K. Schindhelm & Asa MacWilliams

Authors
  1. Corina K. Schindhelm
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  2. Asa MacWilliams
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Editors and Affiliations

  1. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  2. VDE Verband der Elektrotechnik Elektronik Informationstechnik e. V. , Stresemannallee 15, 60596, Frankfurt am Main

    Birgid Eberhardt

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Schindhelm, C.K., MacWilliams, A. (2011). Overview of Indoor Positioning Technologies for Context Aware AAL Applications. In: Wichert, R., Eberhardt, B. (eds) Ambient Assisted Living. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18167-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-18167-2_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18166-5

  • Online ISBN: 978-3-642-18167-2

  • eBook Packages: EngineeringEngineering (R0)

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