Detecting Falls with Wearable Sensors Using Machine Learning Techniques

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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Bibliographic Details
Main Authors: Ahmet Turan Özdemir, Billur Barshan
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Sensors
Subjects:
fall detection
activities of daily living
wearable motion sensors
machine learning
pattern classification
feature extraction and reduction
Online Access:http://www.mdpi.com/1424-8220/14/6/10691

Internet

http://www.mdpi.com/1424-8220/14/6/10691

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