Abstract
Pervasive computing envisions seamless and distraction-free support for tasks by means of context-aware applications. Location information is a key component in many context-aware applications. This article describes the design, implementation and evaluation of LOCOSmotion, an acceleration-assisted WLAN-based tracking system. The basis of localization in LOCOSmotion is WLAN fingerprinting as proposed in RADAR [2]. In order to achieve high location update rates, it augments fingerprinting with dead-reckoning using acceleration measurements to capture movement. To evaluate the performance of LOCOSmotion, this article presents the results of a set of laboratory experiments as well as results of the EvAAL 2012 competition in Madrid. Based on the lessons learned from deploying and using LOCOSmotion during EvAAL, we identify future directions for possible optimizations.
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References
Akeila, E., Salcic, Z.: a Swain, a Croft, and J Stott. Bluetooth-based indoor positioning with fuzzy based dynamic calibration. In: IEEE Region 10 Conference on TENCON 2010, pp. 1415–1420 (November 2010)
Bahl, P., Padmanabhan, V.N.: Radar: an in-building rf-based user location and tracking system. In: Proceedings of the IEEE 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. Wirel. Commun. Mob. Comput. (12), 1546–1557 (2012)
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. Communications Surveys & … 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)
Ingram, S.J., Harmer, D., Quinlan, M.: UltraWideBand Indoor Positioning Systems and their Use in Emergencies (1803)
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)
Libby, R.: A simple method for reliable footstep detection in embedded sensor platforms (2008), http://ubicomp.cs.washington.edu/uwar/libby_peak_detection.pdf
Lim, H., Kung, L.-C., Hou, J.C., Luo, H.: Zero-configuration indoor localization over ieee 802.11 wireless infrastructure. Wirel. Netw. 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)
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: Landmarc: Indoor location sensing using active rfid. Wireless Networks 10, 701–710 (2004), 10.1023/B:WINE.0000044029.06344.dd
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: Landmarc: Indoor location sensing using active rfid. Wireless Networks 10, 701–710 (2004), 10.1023/B:WINE.0000044029.06344.dd
NielsenWire. Nielsen wire blog, http://blog.nielsen.com/nielsenwire/online_mobile/smartphones-account-for-half-of-all-mobile-phones-dominate-.new-phone-purchases-in-the-us/ (accessed: November 11, 2012)
Otsason, V., Varshavsky, A., LaMarca, A., de Lara, E.: Accurate GSM Indoor Localization. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 141–158. Springer, Heidelberg (2005)
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, 42–47 (1997)
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). LOCOSmotion: An Acceleration-Assisted Person Tracking System Based on Wireless LAN. In: Chessa, S., Knauth, S. (eds) Evaluating AAL Systems Through Competitive Benchmarking. EvAAL 2012. Communications in Computer and Information Science, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37419-7_3
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DOI: https://doi.org/10.1007/978-3-642-37419-7_3
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