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2023 | OriginalPaper | Chapter

Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors

Authors : Jeppe Tinghøj Honoré, Rune Dalsenni Rask, Stefan Rahr Wagner

Published in: ICT for Health, Accessibility and Wellbeing

Publisher: Springer Nature Switzerland

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Abstract

INTRODUCTION: Falls constitute a significant threat to older adults. Several approaches aimed at automatically detecting falls exist. Smartphones are widespread and can serve as a low-cost pervasive platform for automated fall detection. Existing fall detection apps are highly sensitive, but often suffers from sub-optimal specificity which can result in many false positives.

OBJECTIVES: The aim of this study was to investigate whether the built-in pedometer virtual sensor on the Android smartphone platform can be used to increase specificity and thereby achieve higher accuracy in an accelerometer-based Android fall detection application.

METHODS: An existing open threshold-based accelerometer algorithm was combined with the standard Android virtual sensor pedometer algorithm for detecting walking in the postfall phase. In a range of experiments, falls were simulated using a combination of a test mannequin and test participants, in order to determine the sensitivity and specificity of the solution.

RESULTS: All simulated falls were detected with 100% sensitivity. By counting postfall subsequent steps using the Android pedometer virtual sensor, the specificity of the application was increased to 100% in all scenarios.

CONCLUSION: The combination of accelerometer and pedometer sensors was found feasible to use for increasing the specificity of existing open fall detection algorithms.

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Title: Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors
Authors: Jeppe Tinghøj Honoré
Rune Dalsenni Rask
Stefan Rahr Wagner
Publisher: Springer Nature Switzerland
Book: ICT for Health, Accessibility and Wellbeing
Print ISBN: 978-3-031-29547-8

Electronic ISBN: 978-3-031-29548-5

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-29548-5_1

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