Detecting Falls with Wearable Sensors Using Machine Learning Techniques

Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units fitted to the subjects’ body at six different positions. Each unit comprises three tri-axial devices (accelerometer,...

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Hlavní autoři: Ahmet Turan Özdemir, Billur Barshan
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2014-06-01
Edice:Sensors
Témata:
fall detection
activities of daily living
wearable motion sensors
machine learning
pattern classification
feature extraction and reduction
On-line přístup:http://www.mdpi.com/1424-8220/14/6/10691
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