Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features

Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features

Faller classification in elderly populations can facilitate preventative care before a fall occurs. A novel wearable-sensor based faller classification method for the elderly was developed using accelerometer-based features from straight walking and turns. Seventy-six older individuals (74.15 ± 7.0...

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Bibliographic Details
Main Authors: Dylan Drover, Jennifer Howcroft, Jonathan Kofman, Edward D. Lemaire
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Sensors
Subjects:
wearable sensors
machine learning
accelerometer
faller classification
faller prediction
feature selection
elderly
falls
prospective fallers
Online Access:http://www.mdpi.com/1424-8220/17/6/1321

Internet

http://www.mdpi.com/1424-8220/17/6/1321

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