Personal monitoring and health data acquisition in smart homes

Personal monitoring and health data acquisition in smart homes

For access to this article, please select a purchase option:

Buy chapter PDF
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Human Monitoring, Smart Health and Assisted Living: Techniques and technologies — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The use of ambient assisted living technology, namely technology to improve the quality of life of people at home, is becoming a common trait of modern society. This technology, however, is difficult to be completely defined and classified, since it addresses many different human needs ranging from the physiological sphere to the psychological and social ones. In this chapter we focus on personal monitoring and data acquisition in smart homes, and propose the results of our research activities in the form of the description of three functional prototypes, each one addressing a specific need: an environmental monitoring system to measure the respiratory rate, a domotic architecture for both comfort assessment and user indoor localization, and a device for supporting mobility indoors. Each prototype description is followed by an experimental analysis and, finally, by considerations suggesting possible future developments in the very near future.

Chapter Contents:

  • Abstract
  • 1.1 Introduction
  • 1.2 Respiratory rate detection using an RGB-D camera
  • 1.2.1 System configuration
  • Hardware
  • Software
  • 1.2.2 Respiratory rate detection
  • 1.2.3 Experimental validation
  • Setup
  • Results
  • Considerations on the respiratory rate detection
  • 1.3 The ComfortBox: an IoT architecture for indoor comfort monitoring and user localization
  • 1.3.1 System architecture
  • 1.3.2 Comfort analysis
  • Thermal comfort
  • Olfactory comfort
  • Acoustic comfort
  • Visual comfort
  • 1.3.3 Fuzzy inference system
  • 1.3.4 RSSI-based localization
  • Indoor localization algorithms
  • Experimental results
  • Considerations on the ComfortBox
  • 1.4 A mobility support forAAL environments: the smart wheelchair
  • 1.4.1 System setup
  • 1.4.2 Experimental results
  • Localization
  • Path following and obstacle avoidance
  • Considerations on the smart wheelchair
  • 1.5 Conclusions
  • Acknowledgments
  • References

Inspec keywords: pneumodynamics; assisted living; ambient intelligence; patient monitoring; data acquisition

Other keywords: human needs; social need; environmental monitoring system; domotic architecture; respiratory rate; physiological sphere; mobility indoors; personal monitoring; health data acquisition; ambient assisted living technology; psychological need; comfort assessment; smart homes; user indoor localization

Subjects: Haemodynamics, pneumodynamics; Biomedical communication; Data acquisition systems; Biomedical engineering

Preview this chapter:
Zoom in

Personal monitoring and health data acquisition in smart homes, Page 1 of 2

| /docserver/preview/fulltext/books/he/pbhe009e/PBHE009E_ch1-1.gif /docserver/preview/fulltext/books/he/pbhe009e/PBHE009E_ch1-2.gif

Related content

This is a required field
Please enter a valid email address