Abstract
Indoor localization is a key component in context-aware applications and assisted-living technologies. In prior work, we presented the design and implementation of the LOCOSmotion indoor person tracking system that uses Wireless LAN fingerprinting and accelerometer-based dead-reckoning [5]. In this paper, we analyze the optimization potentials of the previous implementation LOCOSmotion and propose modifications and enhancements which address them. In particular, we focus on reducing the time and cost of deployment, as well as on a number of refinements to improve the localization precision. Aside from optimization of the calibration tools and underlying localization algorithms, the refinements also encompass the use of feedback provided by the domestic robotics (domotics) in the Living Lab to improve the overall system performance.
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References
Akeila, E., Salcic, Z., Swain, A., Croft, A., Stott, J.: Bluetooth-based Indoor Positioning with Fuzzy based Dynamic Calibration. In: TENCON 2010 - 2010 IEEE Region 10 Conference, pp. 1415–1420 (November 2010)
Bahl, P., Padmanabhan, V.N.: Radar: An in-building rf-based user location and tracking system. In: IEEE Proceedings of the Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2000, vol. 2, pp. 775–784 (2000)
Baniukevic, A., Sabonis, D., Jensen, C.S., Lu, H.: Improving Wi-Fi Based Indoor Positioning Using Bluetooth Add-Ons. In: 2011 IEEE 12th International Conference on Mobile Data Management, pp. 246–255 (June 2011)
Barsocchi, P., Lenzi, S., Chessa, S., Furfari, F.: Automatic virtual calibration of range-based indoor localization systems. Wireless Communications and Mobile Computing (12), 1546–1557 (2012)
Fet, N., Handte, M., Wagner, S., Marrón, P.J.: LOCOSmotion: An acceleration-assisted person tracking system based on wireless LAN. In: Chessa, S., Knauth, S. (eds.) EvAAL 2012. CCIS, vol. 362, pp. 17–31. Springer, Heidelberg (2013)
Focken, D., Stiefelhagen, R.: Towards vision-based 3-D people tracking in a smart room. In: Proceedings of the Fourth IEEE International Conference on Multimodal Interfaces, pp. 400–405 (2002)
Gu, Y., Lo, A., Niemegeers, I.: A survey of indoor positioning systems for wireless personal networks. IEEE Communications Surveys & Tutorials 11(1), 13–32 (2009)
Handte, M., Iqbal, U., Apolinarski, W., Wagner, S., Marrón, P.J.: The narf architecture for generic personal context recognition. In: 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), pp. 123–130 (June 2010)
Haverinen, J., Kemppainen, A.: A Global Self-localization Technique Utilizing Local Anomalies of the Ambient Magnetic Field. In: 2009 IEEE International Conference on Robotics and Automation, pp. 3142–3147 (May 2009)
Hightower, J., Want, R., Borriello, G.: SpotON: An indoor 3D location sensing technology based on RF signal strength. UW CSE 00-02-02, University of Washington (2000)
Ingram, S.J., Harmer, D., Quinlan, M.: Ultrawideband indoor positioning systems and their use in emergencies. In: Position Location and Navigation Symposium, PLANS 2004, pp. 706–715 (2004)
Ji, Y., Biaz, S., Pandey, S., Agrawal, P.: Ariadne: A dynamic indoor signal map construction and localization system. In: Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, MobiSys 2006, pp. 151–164. ACM, New York (2006)
Juels, A.: RFID Security and Privacy: A Research Survey. IEEE Journal on Selected Areas in Communications 24(2), 381–394 (2006)
Lim, H., Kung, L.-C., Hou, J.C., Luo, H.: Zero-configuration indoor localization over ieee 802.11 wireless infrastructure. Wireless Networks 16(2), 405–420 (2010)
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(6), 1067–1080 (2007)
Neumann, P.: A system for inertia-based distance estimation using mobile phones. University of Duisburg-Essen, Bachelor Thesis (July 2012)
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: Landmarc: Indoor location sensing using active rfid. Wireless Networks 10, 701–710 (2004), doi:10.1023/B:WINE.0000044029.06344.dd
Velayos, H., Karlsson, G.: Techniques to reduce the ieee 802.11b handoff time. In: 2004 IEEE International Conference on Communications, vol. 7, pp. 3844–3848 (2004)
Want, R., Hopper, A., Falcão, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems 10(1), 91–102 (1992)
Ward, A., Jones, A., Hopper, A.: A new location technique for the active office. IEEE Personal Communications 4(5), 42–47 (1997)
Weinberg, H.: Using the adxl202 in pedometer and personal navigation applications. iMEMS Technologies/Applications, Analog Devices (1995)
Xiang, Z., Song, S., Chen, J., Wang, H., Huang, J., Gao, X.: A wireless lan-based indoor positioning technology. IBM Journal of Research and Development 48(5.6), 617–626 (2004)
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Fet, N., Handte, M., Wagner, S., Marrón, P.J. (2013). Enhancements to the LOCOSmotion Person Tracking System. In: Botía, J.A., Álvarez-García, J.A., Fujinami, K., Barsocchi, P., Riedel, T. (eds) Evaluating AAL Systems Through Competitive Benchmarking. EvAAL 2013. Communications in Computer and Information Science, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41043-7_7
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DOI: https://doi.org/10.1007/978-3-642-41043-7_7
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