Feature selection for elderly faller classification based on wearable sensors

Feature selection for elderly faller classification based on wearable sensors

Abstract Background Wearable sensors can be used to derive numerous gait pattern features for elderly fall risk and faller classification; however, an appropriate feature set is required to avoid high computational costs and the inclusion of irrelevant features. The objectives of this study were to...

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Bibliographic Details
Main Authors: Jennifer Howcroft, Jonathan Kofman, Edward D. Lemaire
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Wearable sensors
Accelerometer
Plantar pressure
Fall risk
Older adults
Prediction
Online Access:http://link.springer.com/article/10.1186/s12984-017-0255-9

Internet

http://link.springer.com/article/10.1186/s12984-017-0255-9

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