Skip to main content

Robots in Assisted Living Environments as an Unobtrusive, Efficient, Reliable and Modular Solution for Independent Ageing: The RADIO Experience

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10824))

Abstract

Demographic and epidemiologic transitions have brought a new health care paradigm where life expectancy is increasing as well as the need for long-term care. To meet the resulting challenge, healthcare systems need to take full advantage of new opportunities offered by technical advancements in ICT. The RADIO project explores a novel approach to user acceptance and unobtrusiveness: an integrated smart home/assistant robot system where health monitoring equipment is an obvious and accepted part of the user’s daily life. By using the smart home/assistant robot as sensing equipment for health monitoring, we mask the functionality of the sensors rather than the sensors themselves. In this manner, sensors do not need to be discrete and cumbersome to install; they do however need to be perceived as a natural component of the smart home/assistant robot functionalities.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

References

  1. Lee, R.: The outlook for population growth. Science 333, 569–573 (2011)

    Article  Google Scholar 

  2. Kash, B.A., Hawes, C., Phillips, C.D.: Comparing staffing levels in the Online Survey Certification and Reporting (OSCAR) system with the medicaid cost report data: are differences systematic? Gerontologist 47(4), 480–489 (2007)

    Article  Google Scholar 

  3. Weech-Maldonado, R., Meret-Hanke, L., Neff, M.C., Mor, V.: Nurse staffing patterns and quality of care in nursing homes. Health Care Manag. Rev. 29(2), 107–116 (2004)

    Article  Google Scholar 

  4. Hensel, B.K., Demiris, G., Courtney, K.L.: Defining obtrusiveness in home telehealth technologies: a conceptual framework. J. Am. Med. Inform. Assoc. 13(4), 428–431 (2006)

    Article  Google Scholar 

  5. Giannakopoulos, T., Konstantopoulos, S., Siantikos, G., Karkaletsis, V.: Design for a system of multimodal interconnected ADL recognition services. In: Keramidas, G., Voros, N., Hübner, M. (eds.) Components and Services for IoT Platforms, pp. 323–333. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42304-3_16

    Chapter  Google Scholar 

  6. Stavrinos, G., Konstantopoulos, S.: The rostune package: monitoring systems of distributed ROS nodes. In: ROSCon 2017, Vancouver, Canada (2017)

    Google Scholar 

  7. Siantikos, G., Giannakopoulos, T., Konstantopoulos, S.: Monitoring activities of daily living using audio analysis and a RaspberryPI: a use case on bathroom activity monitoring. In: Röcker, C., O’Donoghue, J., Ziefle, M., Helfert, M., Molloy, W. (eds.) ICT4AWE 2016. CCIS, vol. 736, pp. 20–32. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62704-5_2

    Chapter  Google Scholar 

  8. Giannakopoulos, T., Konstantopoulos, S.: Daily activity recognition based on meta-classification of low-level audio events. In: Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2017), Porto, Portugal, 28–29 April 2017 (2017)

    Google Scholar 

  9. Giannakopoulos, T., Siantikos, G.: A ROS framework for audio-based activity recognition. In: Proceedings of the 9th ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2016), Corfu, 29 June–1 July 2016 (2016)

    Google Scholar 

  10. Papakostas, M., Giannakopoulos, T., Makedon, F., Karkaletsis, V.: Short-term recognition of human activities using convolutional neural networks. In: Proceedings of the 12th International IEEE Conference on Signal-Image Technology & Internet Based Systems (SITIS 2016), Naples, Italy, 28 November–1 December 2016 (2016)

    Google Scholar 

  11. Schwiegelshohn, F., Al Kadi, M., Wehner, P., Smoluk, P., Hübner, M., Göhringer, D.: Accelerating image processing algorithms for the RADIO project’s assistant robot system. In: Jasperneite, J., Lohweg, V. (eds.) Kommunikation und Bildverarbeitung in der Automation. TA, pp. 233–245. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-55232-2_18

    Chapter  Google Scholar 

  12. Zamani, K., Stavrinos, G., Konstantopoulos, S.: Detecting and measuring human walking in laser scans. Submitted to the 10th Hellenic Conference on Artificial Intelligence (SETN 2018), Patras, Greece (2018)

    Google Scholar 

  13. Schwiegelshohn, F., Wehner, P., Werner, F., Göhringer, D., Hübner, M.: Enabling indoor object localization through bluetooth beacons on the RADIO robot platform. In: Proceedings of the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XV), Samos, Greece, 18–21 July 2016. IEEE, January 2017

    Google Scholar 

  14. Z-Wave Alliance. http://z-wavealliance.org/. Accessed Aug 2015

  15. http://standards.ieee.org/about/get/802/802.15.html

  16. Zigbee Specification, January 2008

    Google Scholar 

  17. Bluetooth, Specifications (SIG), Version 1.1 (2001)

    Google Scholar 

  18. Bluetooth SIG (Hrsg.): Specification of the Bluetooth System: Covered Core Package version: 4.0, June 2010

    Google Scholar 

  19. OpenZWave: (n.d.). OpenZWave Google Code. https://code.google.com/p/openzwave/. Accessed June 2013

Download references

Acknowledgment

The work described here was carried out in the context of the RADIO project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 643892. For more details, please visit the RADIO Web site http://www.radio-project.eu.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christos Antonopoulos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Antonopoulos, C. et al. (2018). Robots in Assisted Living Environments as an Unobtrusive, Efficient, Reliable and Modular Solution for Independent Ageing: The RADIO Experience. In: Voros, N., Huebner, M., Keramidas, G., Goehringer, D., Antonopoulos, C., Diniz, P. (eds) Applied Reconfigurable Computing. Architectures, Tools, and Applications. ARC 2018. Lecture Notes in Computer Science(), vol 10824. Springer, Cham. https://doi.org/10.1007/978-3-319-78890-6_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78890-6_57

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78889-0

  • Online ISBN: 978-3-319-78890-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics