Skip to main content

Lessons Learned from a Long-Running Assistive System for Geriatric Care

  • Conference paper
Book cover Ambient Assisted Living and Daily Activities (IWAAL 2014)

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

Included in the following conference series:

Abstract

Pervasive healthcare aims for a decentralized, preventive, and assistive approach to healthcare. Recognizing their merits, many authors have proposed systems based on this approach; some include theoretical proposals and architectural designs, while others have implemented real working systems. Most systems are tested in controlled laboratory conditions, and just a few of them in real-setting scenarios.

For three years now, we have been using a system that assists caregivers in performing their duties at a geriatric residence. In this paper, we report the lessons learned with this system, during a period spanning the requirements gathering, design, implementation, maintenance, update and continuous running phases. This report tries to fill a void in the literature for real-life experiences that can be taken into account when designing and implementing pervasive healthcare systems to be installed in real settings.

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 39.99
Price excludes VAT (USA)
  • Available as 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE Journal of Biomedical and Health Informatics 17(3)

    Google Scholar 

  2. Varshney, U.: Pervasive healthcare. Computer 36(12), 138–140 (2003)

    Google Scholar 

  3. Bardram, J.E.: Pervasive Healthcare as a Scientific Discipline. Methods of Information in Medicine 47(3), 178–185 (2008)

    Google Scholar 

  4. Arnrich, B., Mayora, O., Bardram, J., Tröster, G.: Pervasive Healthcare Paving the Way for a Pervasive, User-Centered and Preventive Healthcare Model. Methods of Information in Medicine 47(1), 67–73 (2010)

    Google Scholar 

  5. Soto-Mendoza, V., Garcia-Macias, J.A., Chavez, E., Martinez-Garcia, A., Favela, J., Serrano-Alvarado, P., Zuiga, M.R.: Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders (Unpublished manuscript under review)

    Google Scholar 

  6. Viswanathan, H., Chen, B., Pompili, D.: Research challenges in computation, communication, and context awareness for ubiquitous healthcare. IEEE Communications Magazine 50(5), 92–99 (May 2012)

    Google Scholar 

  7. Soto Mendoza, V.: Detección de situaciones de cuidado en adultos mayores institucionalizados (Risk Detection Situations for Institutionalized Older Adults). Master thesis. CICESE (2012)

    Google Scholar 

  8. Shimmer: http://www.shimmersensing.com/

  9. Kropf, J., Roedl, L., Hochgatterer, A.: A modular and flexible system for activity recognition and smart home control based on nonobtrusive sensors. In: Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare (2012)

    Google Scholar 

  10. Cohn, G., Gupta, S., Lee, T.J., Morris, D., Smith, J.R., Reynolds, M.S., Tan, D.S., Patel, S.N.: An ultra-low-power human body motion sensor using static electric field sensing. In: UbiComp 2012, p. 99 (2012)

    Google Scholar 

  11. Jeong, D.U., Kim, S.J., Chung, W.Y.: Classification of Posture and Movement Using a 3-axis Accelerometer. In: 2007 International Conference on Convergence Information Technology (ICCIT 2007), pp. 837–844 (November 2007)

    Google Scholar 

  12. Rokach, L., Maimon, O.: Data mining with decision trees: theory and applications. World Scientific Pub. Co. Inc. (2008)

    Google Scholar 

  13. Hayes, G.R.: The relationship of action research to human-computer interaction. ACM Transactions on Computer-Human Interaction 18(3), 1–20 (July 2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Soto-Mendoza, V., Garcia-Macias, J.A. (2014). Lessons Learned from a Long-Running Assistive System for Geriatric Care. 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_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13105-4_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13104-7

  • Online ISBN: 978-3-319-13105-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics