Skip to main content

An RFID Based Activity of Daily Living for Elderly with Alzheimer’s

  • Conference paper
  • First Online:
Internet of Things (IoT) Technologies for HealthCare (HealthyIoT 2017)

Abstract

With the proliferation of emerging technologies such as Internet of Things (IOT) and Radio Frequency identification (RFID), it is possible to collect massive amount of data for localization and tracking of people within commercial buildings & smart homes. In this paper we present the design, implementation and testing of an RFID system for monitoring the wandering about of an Elderly with Alzheimer’s at home. The novelty of the algorithm presented lies in its simplicity to detect the motion of elderly from one room to another for monitoring activity of daily living (ADL) and sending alert in case of an onset of emergency without the need for using massive sensors. The system was tested successfully in the lab and achieved an efficiency of 88%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 60.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ranjan, J., Yao, Y., Whitehouse, K.: An RF doormat for tracking people’s room locations. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 797–800. ACM (2013)

    Google Scholar 

  2. Saab, S.S., Nakad, Z.S.: A standalone RFID indoor positioning system using passive tags. IEEE Trans. Ind. Electron. 58, 1961–1970 (2011)

    Article  Google Scholar 

  3. Berz, E.L., Tesch, D.A., Hessel, F.P.: RFID indoor localization based on support vector regression and k-means. In: 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), pp. 1418–1423. IEEE (2015)

    Google Scholar 

  4. Kulkarni, A., Sathe, S.: Healthcare applications of the internet of things: a review. Int. J. Comput. Sci. Inf. Technol. 5, 6229–6232 (2014)

    Google Scholar 

  5. Siddagangaiah, S.: A novel approach to IoT based plant health monitoring system (2016)

    Google Scholar 

  6. Wang, C., Daneshmand, M., Dohler, M., Mao, X., Hu, R.Q., Wang, H.: Guest editorial-special issue on internet of things (IoT): architecture, protocols and services. IEEE Sensors J. 13, 3505–3510 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

The authors would like to thank King Fahd University for the support of this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad Wasim Raad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Raad, M.W., Sheltami, T., Soliman, M.A., Alrashed, M. (2018). An RFID Based Activity of Daily Living for Elderly with Alzheimer’s. In: Ahmed, M., Begum, S., Fasquel, JB. (eds) Internet of Things (IoT) Technologies for HealthCare. HealthyIoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-76213-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-76213-5_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76212-8

  • Online ISBN: 978-3-319-76213-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics