Development of a fall detection algorithm based on a tri-axial accelerometer

The elder population are at high risk of having a falling accident. Once it happens, timely assistance can dramatically reduce the damage. Obviously, real-time and accurate fall detection is the key. The algorithm proposed in this work can distinguish falls from ADL (activities of daily living) and...

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Bibliographic Details
Published in2011 4th International Conference on Biomedical Engineering and Informatics (BMEI) Vol. 3; pp. 1371 - 1374
Main Authors Yan Yang, Xingqun Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Acceleration
Accelerometers
Conferences
Detection algorithms
fall detection
Knee
posture
Real time systems
Senior citizens
tri-axial accelerometer
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ISBN142449351X
9781424493517
ISSN1948-2914
DOI10.1109/BMEI.2011.6098542

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Summary:The elder population are at high risk of having a falling accident. Once it happens, timely assistance can dramatically reduce the damage. Obviously, real-time and accurate fall detection is the key. The algorithm proposed in this work can distinguish falls from ADL (activities of daily living) and give the information of both fall direction and lying posture through analyzing data from a accelerometer placed in the head level. The experimental results demonstrate that the algorithm is of important practical value.
ISBN:142449351X
9781424493517
ISSN:1948-2914
DOI:10.1109/BMEI.2011.6098542