Skip to main content

Use of Wireless Smart Sensors for Detecting Human Falls through Structural Vibrations

  • Conference paper
  • First Online:
Civil Engineering Topics, Volume 4

Abstract

Falls are the leading cause of accidental deaths for people over the age of 65 because of the fall, fall related injury itself or related complications including hypothermia, dehydration, pressure sores and pneumonia. Several fall detection systems are commercially available including Life Alert, Life Link, and Alert One where the person wears a pendant that can be pressed in the case of an emergency or with newer models activates automatically when there is no motion. Pendant-based emergency systems become ineffective if the person is not wearing the pendant (refuses or forgets) or cannot press the pendant’s button, for example when falling in a prone position on top of the device. In addition, the elderly are hesitant to use emergency systems for several reasons such as the concern of bothering others and personal pride. This paper proposes the use of structural vibrations to determine if a person has fallen. An Imote2 and an ITS400CA sensor board are used for the collection of structural vibrations induced by human activity, including falls. These sensors are discrete, and have shown potential for the data collection and diagnostic processing needed to detect human falls. The use of wireless smart sensors in the structure provides a non-intrusive method for human fall detection that does not require the use of any device by the person. A preliminary study of the classification of human induced vibration in a typical structure using traditional wired sensors is also discussed as well as a sensing framework used to study structural vibrations induced by human falls.

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
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Falls in Nursing Homes. 2008; Available from: http://www.cdc.gov/ncipc/factsheets/nursing.htm.

  2. Falls and the Elderly. 2010; Available from: http://www.netwellness.org/healthtopics/aging/faq9.cfm.

  3. Shi, G.Y., et al., Mobile Human Airbag System for Fall Protection Using MEMS Sensors and Embedded SVM Classifier. Ieee Sensors Journal, 2009. 9(5-6): p. 495-503.

    Article  Google Scholar 

  4. Chen, J., et al., Wearable Sensors for Reliable Fall Detection, in Engineering in Medicine and Biology 27th Annual Conference. 2005, IEEE: Shanghai, China.

    Google Scholar 

  5. Fu, Z.M., et al., An Address-Event Fall Detector for Assisted Living Applications. Ieee Transactions on Biomedical Circuits and Systems, 2008. 2(2): p. 88-96.

    Article  Google Scholar 

  6. Zigel, Y., D. Litvak, and I. Gannot, A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of Concept on Human Mimicking Doll Falls. Ieee Transactions on Biomedical Engineering, 2009. 56(12): p. 2858-2867.

    Article  Google Scholar 

  7. Nagayama, T., Structural Health Monitoring Using Smart Sensors, in Civil Engineering. 2007, University of Illinois: Urbana-Champaign. p. 259.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science + Business Media, LLC

About this paper

Cite this paper

Davis, B.T., Caicedo, J.M., Langevin, S., Hirth, V. (2011). Use of Wireless Smart Sensors for Detecting Human Falls through Structural Vibrations. In: Proulx, T. (eds) Civil Engineering Topics, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9316-8_37

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-9316-8_37

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-9315-1

  • Online ISBN: 978-1-4419-9316-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics