Skip to main content

Combining Smart Tags and Body Fixed Sensors for Disabled People Assistance

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Abstract

The world population is rapidly aging in industrialized countries and at a growing rate. As well as the percentage of elderly people is constantly increasing, so related health costs are augmenting, demanding novel technological solutions that both, enhance elder daily life independence and reduce the social and economic overhead of their hospitalization. The general framework of the presented work is about technological platforms for helping elder and handicapped people in a non-intrusive manner. The research in human motion monitoring, having in mind the particular objective of fall prevention, and the use of RFID technology combined with text to speech techniques are merged on a general purpose assistive platform able to help all kind of people, including those who has not impairment but are seeking to improve their quality of live.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Chella, A., et al.: A System for Simultaneous People Tracking and Posture Recognition in the context of Human-Computer Interaction. In: International Conference Computer as a Tool, EUROCON 2005. vol. 2, pp. 991–994 (November 21-24, 2005)

    Google Scholar 

  2. Farella, E., et al.: A Wireless Body Area Sensor Network for Posture Detection. In: ISCC ’06. Proceedings. 11th IEEE Symposium on Computers and Communications, June 26-29, 2006, pp. 454–459. IEEE Computer Society Press, Los Alamitos (2006)

    Google Scholar 

  3. Moore, S.T., et al.: Long-term monitoring of gait in Parkinson’s disease. In: Science Direct, Gait & Posture, Elsevier, Amsterdam (2006)

    Google Scholar 

  4. Han, J., et al.: Gait detection from three dimensional acceleration signals of ankles for the patients with Parkinson’s disease. In: The International Special Topic Conference on Information Technology in Biomedicine (ITAB 2006)

    Google Scholar 

  5. Yiping, T., et al.: Elder abnormal activity detection by data mining. In: SICE 2004 Annual Conference. vol. 1, August 4-6, 2004, vol. 1, pp. 837–840 (2004)

    Google Scholar 

  6. RFID Whitepaper: alliedworld.com, Allied Business Intelligence Inc. (2002)

    Google Scholar 

  7. Jackson, R.J.: Radio Frequency Identification (RFID), A White Paper available on: http://home.agh.edu.pl/~luc/my_doc/what_is_rfid.pdf

  8. Raya, C., et al.: KneeMeasurer. A Wearable Interface for Joint Angle Measurements. In: drt4all Conference (April 2007)

    Google Scholar 

  9. Retscher, G.: Location Determination in Indoor Environments for Pedestrian Navigation. In: Position, Location, and Navigation Symposium, 2006 IEEE/ION, pp. 547–555 (April 25-27, 2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Álvarez, J.A., Pérez, C., Angulo, C., Antonio Ortega, J. (2007). Combining Smart Tags and Body Fixed Sensors for Disabled People Assistance. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74827-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics