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Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Smart Carpet: Developing a sensor system to detect falls and summon assistance.

Myra A Aud¹, Carmen C Abbott, Harry W Tyrer

¹Sinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri 65211, USA. audm@missouri.edu

Journal of Gerontological Nursing

|July 9, 2010

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Smart Carpet technology offers a novel solution for fall detection in older adults with dementia. This innovative system detects falls by sensing gait characteristics, overcoming limitations of traditional wearable devices.

Area of Science:

Gerontology
Biomedical Engineering
Assistive Technology

Background:

Cognitive impairments in older adults with dementia restrict the use of wearable fall-detection devices.
Traditional devices require user compliance (wearing, operation) and post-fall consciousness, posing challenges for this demographic.

Purpose of the Study:

To evaluate the feasibility of a Smart Carpet system for automatic fall detection in older adults.
To assess the sensitivity and user perception of embedded sensors in a Smart Carpet prototype.

Main Methods:

Development of a Smart Carpet prototype with embedded, imperceptible sensors.
Testing with 11 volunteers to measure sensor sensitivity and gait characteristic detection.
Analysis of sensor performance during ambulation across the Smart Carpet.

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Last Updated: Jun 11, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Using Motion Capture Technology in the Instrumented Timed Up and Go Test to Detect the Risk of Falling in Aged Adults

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Main Results:

The Smart Carpet's embedded sensors were undetectable to volunteers during testing.
The system successfully detected gait characteristics, confirming sensor sensitivity.
Feasibility of the Smart Carpet for automatic fall detection was established.

Conclusions:

The Smart Carpet presents a viable, non-intrusive alternative for fall detection in older adults with cognitive impairments.
Detected gait characteristics provide a foundation for developing more advanced, automated fall-prevention and detection systems.