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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Enabling affordable and efficiently deployed location based smart home systems.

Damian Kelly1, Sean McLoone, Terry Dishongh

  • 1Electronic Engineering Department, National University of Ireland, Maynooth, Ireland. dkelly@eeng.nuim.ie

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|July 31, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a low-infrastructure localization technique for smart homes, reducing hardware needs for elder care monitoring. It compares mobile devices for accurate and cost-effective elder movement tracking in existing homes.

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Published on: February 8, 2019

Area of Science:

  • Computer Science
  • Ubiquitous Computing
  • Gerontology

Background:

  • Smart home technologies offer significant eldercare potential, but integration into existing homes requires substantial hardware for health monitoring.
  • Current location-based smart home systems demand high infrastructure, posing challenges for retrofitting into completed homes.

Purpose of the Study:

  • To develop an extremely low-infrastructure localization technique for smart home health monitoring.
  • To address the high hardware installation requirements of traditional systems.
  • To enable efficient deployment of location-based smart home systems in existing residences.

Main Methods:

  • Investigated efficient methods for obtaining environmental calibration data.
  • Compared various mobile devices for localization accuracy.
  • Analyzed the cost-effectiveness trade-offs of different mobile devices for localization.

Main Results:

  • A novel, extremely low-infrastructure localization technique was developed.
  • The study identified optimal methods for acquiring calibration data.
  • Comparative analysis revealed trade-offs between mobile device localization accuracy and cost.

Conclusions:

  • The developed low-infrastructure localization technique can significantly reduce hardware requirements for smart home eldercare.
  • Efficient calibration data acquisition and mobile device selection are crucial for cost-effective deployment.
  • This approach facilitates the integration of health monitoring into existing homes, supporting aging in place.