A skeleton-free fall detection system from depth images using random decision forest

Abobakr, Ahmed, Hossny, Mohammed and Nahavandi, Saeid 2018, A skeleton-free fall detection system from depth images using random decision forest, IEEE systems journal, vol. 12, no. 3, pp. 2994-3005, doi: 10.1109/JSYST.2017.2780260.

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Title A skeleton-free fall detection system from depth images using random decision forest
Author(s) Abobakr, AhmedORCID iD for Abobakr, Ahmed orcid.org/0000-0002-6664-2335
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE systems journal
Volume number 12
Issue number 3
Start page 2994
End page 3005
Total pages 12
Publisher Institute of Electrical and Electroncs Engineers
Place of publication Piscataway, N.J.
Publication date 2018-09
ISSN 1932-8184
1937-9234
Keyword(s) Decision forest
fall detection
posture recognition
RGB-D
skeleton-free
support vector machine (SVM)
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Operations Research & Management Science
Telecommunications
Computer Science
Engineering
OLDER-PEOPLE
RISK-FACTORS
RECOGNITION
TRACKING
Language eng
DOI 10.1109/JSYST.2017.2780260
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110982

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