Review of fall detection techniques: A data availability perspective

Highlights • Review of fall detection techniques from the perspective of availability of fall data. • Proposed a taxonomy to study fall detection that is independent of the type of sensors used and specific feature extraction/selection methods. • Identified the approach of treating a fall as an abno...

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Bibliographic Details
Published inMedical engineering & physics Vol. 39; pp. 12 - 22
Main Authors Khan, Shehroz S, Hoey, Jesse
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.01.2017
Subjects
Accidental Falls
Anomaly detection
Cost-sensitive learning
Fall detection
Humans
Machine Learning
Medical Informatics - methods
One-class classification
Outlier detection
Radiology
Wearable Electronic Devices
99-00
Cost-sensitive learning
00-01
Outlier detection
Fall detection
One-class classification
Anomaly detection
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Summary:Highlights • Review of fall detection techniques from the perspective of availability of fall data. • Proposed a taxonomy to study fall detection that is independent of the type of sensors used and specific feature extraction/selection methods. • Identified the approach of treating a fall as an abnormal activity as a plausible research direction.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1350-4533
1873-4030
DOI:10.1016/j.medengphy.2016.10.014