Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering Cheng, B, Wang, O, Shao, Di, Arora, Chetan, Hoang, Thuong Ngoc and Liu, Xiao 2021, Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering, in CCGrid 2021 : Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, IEEE, Piscataway, N.J., pp. 610-613, doi: 10.1109/CCGrid51090.2021.00071. Attached Files Name Description MIMEType Size Downloads Title Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering Author(s) Cheng, B Wang, O Shao, Di orcid.org/0000-0003-1466-7386 Arora, Chetan orcid.org/0000-0001-7354-260X Hoang, Thuong Ngoc orcid.org/0000-0001-8400-5754 Liu, Xiao Conference name Cluster, Cloud and Internet Computing. Symposium (2021 : 21st : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 10-13 May. 2021 Title of proceedings CCGrid 2021 : Proceedings of the 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Publication date 2021 Start page 610 End page 613 Total pages 4 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Human-Centric Software Engineering Emotion Recognition Multisource Edge Computing Multi-source ISBN 9781728195865 Language eng DOI 10.1109/CCGrid51090.2021.00071 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30151583 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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. Versions Version Filter Type Sun, 23 May 2021, 23:10:25 EST Sun, 23 May 2021, 23:11:28 EST Mon, 24 May 2021, 05:01:52 EST Mon, 24 May 2021, 08:05:57 EST Thu, 12 Aug 2021, 06:02:39 EST Thu, 12 Aug 2021, 15:30:20 EST Thu, 12 Aug 2021, 15:31:27 EST Thu, 12 Aug 2021, 16:10:20 EST Sat, 02 Oct 2021, 02:44:18 EST Sat, 30 Oct 2021, 01:31:49 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 110 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Sun, 23 May 2021, 23:11:28 EST