Recurrence quantification analysis for human activity recognition

Ngo, Thang, Champion, Benjamin T, Joordens, Matthew A, Price, Andrew, Morton, David and Pathirana, Pubudu 2020, Recurrence quantification analysis for human activity recognition, in EMBS 2020 : Enabling innovative technologies for global healthcare : Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 4616-4619, doi: 10.1109/EMBC44109.2020.9176347.

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Title Recurrence quantification analysis for human activity recognition
Author(s) Ngo, Thang
Champion, Benjamin T
Joordens, Matthew AORCID iD for Joordens, Matthew A orcid.org/0000-0003-2253-4428
Price, Andrew
Morton, DavidORCID iD for Morton, David orcid.org/0000-0002-1491-6517
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Conference name IEEE Engineering in Medicine and Biology Society. Conference (42nd : 2020 : Online from Montreal, Canada)
Conference location Online from Montreal, Canada
Conference dates 2020/07/20 - 2020/07/24
Title of proceedings EMBS 2020 : Enabling innovative technologies for global healthcare : Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Editor(s) Sawan, Mohamad
McGregor, Carolyn
Dhawan, Atam
Publication date 2020
Series IEEE Engineering in Medicine and Biology Society Conference
Start page 4616
End page 4619
Total pages 4
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Feature extraction
Data models
Activity recognition
Machine learning
Monitoring
Australia
Legged locomotion
Notes This conference was originally scheduled to be held in Montreal, Canada, however due to the 2020 COVID Pandemic, the event was held online.
ISBN 9781728119908
ISSN 1557-170X
Language eng
DOI 10.1109/EMBC44109.2020.9176347
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143329

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