Deep hybrid spatiotemporal networks for continuous pain intensity estimation

Thuseethan, Selvarajah, Rajasegarar, Sutharshan and Yearwood, John 2019, Deep hybrid spatiotemporal networks for continuous pain intensity estimation, in APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Springer, Cham, Switzerland, pp. 449-461, doi: 10.1007/978-3-030-36718-3_38.

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Title Deep hybrid spatiotemporal networks for continuous pain intensity estimation
Author(s) Thuseethan, Selvarajah
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Yearwood, JohnORCID iD for Yearwood, John orcid.org/0000-0002-7562-6767
Conference name Asia-Pacific Neural Network Society. International Conference (26th : 2019 : Sydney, N.S.W.)
Conference location Sydney, N.S.W.
Conference dates 2019/12/12 - 2019/12/15
Title of proceedings APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019
Editor(s) Gedeon, Tom
Wong, Kok Wai
Lee, Minho
Publication date 2019
Series Asia-Pacific Neural Network Society International Conference
Start page 449
End page 461
Total pages 13
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Pain intensity estimation
Hybrid deep network
Convolutional neural network
Recurrent convolutional neural network
ISBN 9783030367176
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-36718-3_38
Indigenous content off
Field of Research 08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30133456

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