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Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children

Qayyum, A, Razzak, Imran, Moustafa, N and Mazher, M 2022, Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children, Image and Vision Computing, vol. 119, pp. 1-8, doi: 10.1016/j.imavis.2022.104375.

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Title Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children
Author(s) Qayyum, A
Razzak, ImranORCID iD for Razzak, Imran orcid.org/0000-0002-3930-6600
Moustafa, N
Mazher, M
Journal name Image and Vision Computing
Volume number 119
Article ID 104375
Start page 1
End page 8
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2022
ISSN 0262-8856
Keyword(s) psychological health
human computer interaction
emotion care
depressed
facial behavior recognition
progressive ShallowNet
patient monitoring
Language eng
DOI 10.1016/j.imavis.2022.104375
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30162340

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
Open Access Collection
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Created: Wed, 09 Feb 2022, 10:30:48 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.