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Utilising LiDAR for fall detection
Nikolai Frøvik1, Bashir A Malekzai1, Knut Øvsthus1
1Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway.
Healthcare Technology Letters
|March 8, 2021
Summary
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.
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.
