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Design and Analysis for Fall Detection System Simplification
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Nikolai Frøvik1, Bashir A Malekzai1, Knut Øvsthus1

  • 1Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway.

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Summary
This summary is machine-generated.

This study introduces a low-cost, non-invasive monitoring system using light detection and ranging (LiDAR) technology to ensure elder safety at home. The system reliably detects falls, even in bathrooms, and alerts care services.

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Area of Science:

  • Gerontology
  • Computer Science
  • Biomedical Engineering

Background:

  • Aging populations necessitate scalable elder care solutions.
  • Traditional care models face workforce limitations.
  • Technology offers a viable alternative for non-invasive elder monitoring.

Purpose of the Study:

  • To develop and assess a low-cost, non-invasive monitoring system for elder home safety.
  • To leverage advancements in light detection and ranging (LiDAR) technology for elder care.
  • To create a reliable system capable of detecting falls in various home environments.

Main Methods:

  • Utilizing light detection and ranging (LiDAR) as the core enabling technology.
  • Designing a non-invasive monitoring system for elder persons' homes.
  • Implementing a proof-of-concept system for fall detection and alarm triggering.

Main Results:

  • Demonstrated a low-cost, non-invasive LiDAR-based monitoring system.
  • Successfully detected simulated falls within the test environment.
  • Confirmed system operability in challenging areas like bathrooms and showers.

Conclusions:

  • LiDAR technology is suitable for non-invasive, reliable, and low-cost elder monitoring.
  • The proposed system effectively detects falls and can enhance elder safety at home.
  • This technology addresses the scalability challenges in elder care due to demographic shifts.