Skip to main content
SpringerLink
Log in

A Non-intrusive IoT-Based Real-Time Alert System for Elderly People Monitoring

  • Conference paper
  • First Online:
Science and Technologies for Smart Cities (SmartCity360° 2020)

Included in the following conference series:

Abstract

Typically, elderly people may be living alone for part of the day or full time, and may have difficulties or problems with mobility, but they want to maintain their independence and autonomy. Internet of Things (IoT) technology may be used to contribute to increasing the degree of security of these people in their own homes, in a much more discreet and non-intrusive way than the typical commercially available systems, providing real-time data about the status of these people to their family members or caretakers. In this article, a non-intrusive IoT-based real-time alert system to be used by elderly people is proposed, using simple and low-cost “of the shelf” electronic components. It is also intended that this solution can integrate other monitoring devices already available on the market, such as bracelets, video cameras, robots, among others. Both laboratorial and house-hold tests have been conducted to prove the effectiveness of the system.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Alakhras, M., Oussalah, M., Hussein, M.: A survey of fuzzy logic in wireless localization. EURASIP J. Wirel. Commun. Netw. 2020(1), 1–45 (2020). https://doi.org/10.1186/s13638-020-01703-7

    Article  Google Scholar 

  2. Almeida, A., Mulero, R., Rametta, P., Urošević, V., Andrić, M., Patrono, L.: A critical analysis of an IoT-aware AAL system for elderlymonitoring. Future Gener. Comput. Syst. 97, 598–619 (2019). https://doi.org/10.1016/j.future.2019.03.019. http://www.sciencedirect.com/science/article/pii/S0167739X18321769

  3. Ashraf, I., Hur, S., Park, Y.: Smartphone sensor based indoor positioning: current status, opportunities, and future challenges. Electronics 9(6) (2020). https://doi.org/10.3390/electronics9060891

  4. Belmonte-Fernandez, O., Puertas-Cabedo, A., Torres-Sospedra, J., Montoliu-Colas, R., Trilles-Oliver, S.: An indoor positioning system based on wearables for ambient-assisted living. Sensors 17(1) (2017). https://doi.org/10.3390/s17010036

  5. Ciabattoni, L., et al.: Human indoor localization for AAL applications: an RSSI based approach. In: Cavallo, F., Marletta, V., Monteriù, A., Siciliano, P. (eds.) ForItAAL 2016. LNEE, vol. 426, pp. 239–250. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54283-6_18

    Chapter  Google Scholar 

  6. De Poorter, E., Van Haute, T., Laermans, E., Moerman, I.: Benchmarking of localization solutions: guidelines for the selection of evaluation points. AdHoc Netw. 59, 86–96 (2017). https://doi.org/10.1016/j.adhoc.2017.02.002. http://www.sciencedirect.com/science/article/pii/S1570870517300264

  7. Eisa, S., Moreira, A.: Requirements and metrics for location and tracking for ambient assisted living. In: 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–7 (2012). https://doi.org/10/ggcfbg

  8. Eisa, S., Moreira, A.: A behaviour monitoring system (BMS) for ambient assisted living. Sensors 17(9), 1946 (2017). https://doi.org/10/ggk8qb

  9. Gharghan, S.K., et al.: Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network. Energies 11(11) (2018). https://doi.org/10.3390/en11112866

  10. Global Coalition on Aging: Relationship-based home care: a sustainable solution for Europe’s elder care crisis. Technical report, Global Coalition on Aging, London (2018)

    Google Scholar 

  11. Grunerbl, A., Bahle, G., Lukowicz, P., Hanser, F.: Using indoor location to assess the state of dementia patients: results and experience report from a long term, real world study. In: 2011 Seventh International Conference on Intelligent Environments, pp. 32–39 (2011). https://doi.org/10.1109/IE.2011.22

  12. Kearns, W.D., Algase, D., Moore, D.H., Ahmed, S.: Ultra wideband radio: a novel method for measuring wandering in persons with dementia. Gerontechnology 7(1), 48 (2008). https://doi.org/10/cv526s

  13. Kolakowski, J., Djaja-Josko, V., Kolakowski, M.: UWB monitoring system for AAL applications. Sensors 17(9) (2017). https://doi.org/10.3390/s17092092

  14. Kolakowski, M., Blachucki, B.: Monitoring wandering behavior of persons suffering from dementia using BLE based localization system. In: 2019 27th Telecommunications Forum (TELFOR), pp. 1–4 (2019). https://doi.org/10.1109/TELFOR48224.2019.8971136

  15. Kunhoth, J., Karkar, A.G., Al-Maadeed, S., Al-Ali, A.: Indoor positioning and wayfinding systems: a survey. HCIS 10(1), 1–41 (2020). https://doi.org/10.1186/s13673-020-00222-0

    Article  Google Scholar 

  16. Liang, P., Krause, P.: Smartphone-based real-time indoor location tracking with 1-m precision. IEEE J. Biomed. Health Inf. 20(3), 756–762 (2016). https://doi.org/10/ggcdf7

  17. Lin, Q., Zhang, D., Chen, L., Ni, H., Zhou, X.: Managing elders’ wandering behavior using sensors-based solutions: a survey. Int. J. Gerontol. 8(2), 49–55 (2014). https://doi.org/10.1016/j.ijge.2013.08.007. http://www.sciencedirect.com/science/article/pii/S1873959814000295

  18. Lopes, S.I., Vieira, J.M.N., Albuquerque, D.: High accuracy 3D indoor positioning using broadband ultrasonic signals. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, pp. 2008–2014 (2012)

    Google Scholar 

  19. Lottis, A., Heß, D., Bastert, T., Röhrig, C.: Safe@home – a wireless assistance system with integrated IEEE 802.15.4a localisation technology. In: 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), vol. 1, pp. 461–467 (2013). https://doi.org/10/ggk9tg

  20. Maheepala, M., Kouzani, A.Z., Joordens, M.A.: Light-based indoor positioning systems: a review. IEEE Sens. J. 20(8), 3971–3995 (2020). https://doi.org/10.1109/JSEN.2020.2964380

    Article  Google Scholar 

  21. Paolini, G., Masotti, D., Antoniazzi, F., Salmon Cinotti, T., Costanzo, A.: Fall detection and 3-D indoor localization by a custom RFID reader embedded in a smart e-health platform. IEEE Trans. Microwave Theory Tech. 67(12), 5329–5339 (2019). https://doi.org/10/ggk8qn

  22. Pirker, W., Katzenschlager, R.: Gait disorders in adults and the elderly. Wien Klin Wochenschr 129, 81–95 (2017). https://doi.org/10/f9sgwd

  23. Simoes, W.C.S.S., Machado, G.S., Sales, A.M.A., de Lucena, M.M., Jazdi, N., de Lucena Jr, V.F.: A review of technologies and techniques for indoor navigation systems for the visually impaired. Sensors 20(14) (2020). https://doi.org/10.3390/s20143935

  24. Studenski, S., et al.: Gait speed and survival in older adults. JAMA 305(1), 50–58 (2011). https://doi.org/10/bf94g8

  25. Varadharajan, V., Tupakula, U., Karmakar, K.: Secure monitoring of patients with wandering behavior in hospital environments. IEEE Access 6, 11523–11533 (2018). https://doi.org/10/ggcvnn

  26. Wang, Z., Yang, Z., Dong, T.: A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time. Sensors 17(2) (2017). https://doi.org/10.3390/s17020341

  27. Yusif, S., Soar, J., Hafeez-Baig, A.: Older people, assistive technologies, and the barriers to adoption: a systematic review. Int. J. Med. Inf. 94, 112–116 (2016). https://doi.org/10.1016/j.ijmedinf.2016.07.004. http://www.sciencedirect.com/science/article/pii/S1386505616301551

Download references

Author information

Authors and Affiliations

  1. University of Trás-os-Montes e Alto Douro (UTAD), 5000-801, Vila Real, Portugal

    Hugo Martins

  2. Chandigarh University, Chandigarh, India

    Nishu Gupta

  3. UTAD/IEETA, Vila Real, Portugal

    M. J. C. S. Reis

Authors
  1. Hugo Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nishu Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. J. C. S. Reis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Technology and Management, Escola Superior de Tecnologia e Gestão, VIANA DO CASTELO, Portugal

    Sara Paiva

  2. Polytechnic Institute of Viana do Castel, Viana do Castelo, Portugal

    Sérgio Ivan Lopes

  3. SIC Laboratory, INSEEC U, ECE Paris Graduate School of Engineering, PARIS, France

    Rafik Zitouni

  4. Vaagdevi College of Engineering, Telangana, India

    Nishu Gupta

  5. University of Minho, Guimarães, Portugal

    Sérgio F. Lopes

  6. Nagoya University, Nagoya, Japan

    Takuro Yonezawa

Rights and permissions

Reprints and permissions

Copyright information

© 2021 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

Martins, H., Gupta, N., Reis, M.J.C.S. (2021). A Non-intrusive IoT-Based Real-Time Alert System for Elderly People Monitoring. In: Paiva, S., Lopes, S.I., Zitouni, R., Gupta, N., Lopes, S.F., Yonezawa, T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-76063-2_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76062-5

  • Online ISBN: 978-3-030-76063-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation