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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

Fall detection algorithm for the elderly using acceleration sensors on the shoes.

S Y Sim¹, H S Jeon, G S Chung

¹Interdisciplinary Program of Bioengineering, College of Engineering, Seoul national university, Republic of Korea. kusashim@bmsil.snu.ac.kr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

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This study developed a shoe-based fall detection system for the elderly, offering a more comfortable alternative to torso-worn sensors. This innovation aims to improve health and safety for the aging population.

Area of Science:

Gerontology
Biomedical Engineering
Wearable Technology

Background:

The aging population in OECD countries, particularly Korea, is rapidly increasing.
Falls are a major health threat to the elderly, necessitating effective fall detection systems.
Current fall detection systems often use torso-mounted accelerometers, which can cause discomfort for daily wear.

Purpose of the Study:

To develop a more comfortable and practical fall detection system for the elderly.
To investigate the feasibility of using accelerometers integrated into shoes for fall detection.
To explore future improvements such as miniaturization, low-power design, and energy harvesting.

Main Methods:

An accelerometer was attached to shoes to collect motion data.

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The system was designed as a prototype for detecting falls in elderly individuals.

Future development plans include reducing system size and power consumption.

Main Results:

A prototype fall detection system using shoe-mounted accelerometers was successfully developed.
The study addresses the discomfort associated with traditional torso-mounted sensors.
The research paves the way for more user-friendly elderly fall monitoring.

Conclusions:

Shoe-based accelerometers offer a viable and comfortable alternative for elderly fall detection.
Further research will focus on optimizing the system for practical, long-term use.
The development of this system contributes to enhancing the safety and well-being of the aging population.