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A Low-Cost ZigBee-Based Gateway System for Indoor Localization and Identification of a Person

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Ambient Assisted Living and Daily Activities (IWAAL 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8868))

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Abstract

The European population is becoming older and older, causing AT (Assistive Technology) and AAL (Ambient Assisted Living) topics to become increasingly important. A ZigBee based low-cost home automation system named CARDEA has been developed at the University of Parma, with the aim to allow elderly people to live their lives autonomously and independently. In this paper a new feature is presented, named CARDEAGate: a gateway monitoring system which allows to detect crossing of a doorway or a predefined gateway and, if the person is carrying a wearable ZigBee sensor, to identify he/she. This technology is very useful to supervise the habits of a not completely self-sufficient person monitoring the access to particular locations or tracking he/she in order to execute a long term behavioral analysis.

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References

  1. European Commission, Active ageing and solidarity between generations (2012), http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-EP-11-001/EN/KS-EP-11-001-EN.PDF

  2. European Commission, Population statistics at regional level (2013), http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Population_statistics_at_regional_level

  3. Ciampolini, P., De Munari, I., Bianchi, V., Matrella, G., Grossi, F.: An Assistive Home Automation and Monitoring System. In: ICCE 2008 Digest of technical papers, pp. 1–2 (2008)

    Google Scholar 

  4. ZigBee Alliance website, http://www.zigbee.org/About/UnderstandingZigBee.aspx

  5. Bianchi, V., Ciampolini, P., De Munari, I., Grossi, F.: MuSA: a multisensor wearable device for AAL. In: Proc. of FedCSIS 2011, pp. 375–380 (2011)

    Google Scholar 

  6. Losardo, A., Grossi, F., Ciampolini, P., De Munari, I., Matrella, G.: Exploiting AAL Environment for Behavioral Analysis. Assistive technologies: from research to practice 33, 1121–1125 (2013)

    Google Scholar 

  7. Affanni, A., Chiorboli, G.: Wearable Instrument for Skin Potential Response Analysis in AAL Applications. In: 20th IMEKO TC-4 International Symposium, Measurement of Electrical Quantities, 418-904-1-DR

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Kundra, I., Ekler, P.: The Summary of Indoor Navigation Possibilities Considering Mobile Environment. In: 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems, pp. 165–166 (2013)

    Google Scholar 

  10. O. J. Woodman.: An introduction to inertial navigation. University of Cambridge technical report, 696 (2007)

    Google Scholar 

  11. Wilson, J., Patwari, N.: Radio Tomographic Imaging with Wireless Networks. IEEE Transactions on Mobile Computing 9(10), 621–632 (2010)

    Article  Google Scholar 

  12. Parker, S.J., Hal, J., Kim, W.: Adaptive Filtering for Indoor Localization using ZIGBEE RSSI and LQI Measurement. Adaptive Filtering Applications 14, 305–324 (2007)

    Google Scholar 

  13. Honkavirta, V., Perala, T., Ali-Loytty, S., Piché, R.: A Comparative Survey of WLAN Location Fingerprinting Methods. In: 6th Workshop on Positioning, Navigation and Communication, pp. 243–251 (2009)

    Google Scholar 

  14. Chan, C.L., Baciu, G., Mak, S.C.: Using Wi-Fi Signal Strength to Localize in Wireless Sensor Networks. In: International Conference on Communications and Mobile Computing, pp. 538–542 (2009)

    Google Scholar 

  15. Wilson, J., Patwari, N.: A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks. IEEE Transactions on Mobile Computing 11(6), 947–958 (2012)

    Article  Google Scholar 

  16. Wagner, B., Patwari, N., Timmermann, D.: Passive RFID Tomographic Imaging for Device-Free User Localization. In: 9th Workshop on Positioning, Navigation and Communication, pp. 120–125 (2012)

    Google Scholar 

  17. http://www.zigbee.org/Standards/Downloads.aspx

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© 2014 Springer International Publishing Switzerland

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Guerra, C., Montalto, F., Bianchi, V., De Munari, I., Ciampolini, P. (2014). A Low-Cost ZigBee-Based Gateway System for Indoor Localization and Identification of a Person. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-13105-4_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13104-7

  • Online ISBN: 978-3-319-13105-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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