Happy emotion recognition from unconstrained videos using 3D hybrid deep features Samadiani, Najmeh, Huang, Guangyan, Hu, Yu and Li, Xiaowei 2021, Happy emotion recognition from unconstrained videos using 3D hybrid deep features, IEEE access, vol. 9, pp. 35524-35538, doi: 10.1109/ACCESS.2021.3061744. Attached Files Name Description MIMEType Size Downloads Title Happy emotion recognition from unconstrained videos using 3D hybrid deep features Author(s) Samadiani, Najmeh Huang, Guangyan orcid.org/0000-0002-1821-8644 Hu, Yu Li, Xiaowei Journal name IEEE access Volume number 9 Start page 35524 End page 35538 Total pages 15 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2021-02-24 ISSN 2169-3536 Keyword(s) facial landmarks facial expression recognition long short term memory multi-layer neural networks happy emotion recognition Language eng DOI 10.1109/ACCESS.2021.3061744 Indigenous content off Field of Research 08 Information and Computing Sciences 09 Engineering 10 Technology HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30149400 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open-access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Mon, 22 Mar 2021, 08:53:39 EST Tue, 23 Mar 2021, 04:02:49 EST Tue, 23 Mar 2021, 07:07:47 EST Wed, 24 Mar 2021, 11:05:07 EST Thu, 25 Mar 2021, 05:05:06 EST Tue, 30 Mar 2021, 10:29:03 EST Tue, 30 Mar 2021, 10:30:54 EST Tue, 30 Mar 2021, 14:56:37 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 24 Mar 2021, 11:05:07 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.