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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

A smart sensing platform for the classification of ambulatory patterns.

M T Elliott¹, X Ma, P N Brett

¹Clinical Biomedical Engineering Research Group, School of Engineering and Applied Science, Birmingham, UK.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine

|July 24, 2009

Summary

This study introduces a novel gait analysis system using tactile sensing and infrared sensors to automatically classify walking patterns. The innovative platform achieves nearly 90% accuracy in distinguishing normal from affected gaits, aiding in early diagnosis and rehabilitation.

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Area of Science:

Biomechanics
Sensor Technology
Machine Learning

Background:

Gait analysis is crucial for diagnosing walking disorders and monitoring rehabilitation.
Existing force plates have limitations in mechanical design and dimensional flexibility.
There is a need for automated, sensitive, and adaptable gait assessment tools.

Purpose of the Study:

To develop and evaluate an innovative sensing approach for automatic capture, discrimination, and classification of gait transients.
To investigate the sensitivity of a distributive tactile sensing method for flexible gait assessment.
To explore the potential of this system in patient targeting and various ambulatory applications.

Main Methods:

A novel walking platform utilizing distributive tactile sensing and infrared sensors to measure plate deflection.
Comparison of captured gait patterns with stored templates using a pattern recognition algorithm.
Classification of normal and affected walking events using a neural network.

Main Results:

The system successfully captures, discriminates, and classifies gait transients automatically.
A classification accuracy of just under 90% was achieved for distinguishing normal from affected walking events.
The tactile sensing method demonstrated sensitivity and flexibility for gait assessment.

Conclusions:

The developed sensing system offers a promising alternative to standard force plates for gait analysis.
This technology has significant potential applications in early diagnosis of walking disorders and rehabilitation.
The system can serve as a tool to track changes in gait post-operatively.