A joint deep neural network model for pain recognition from face

Full text for this resource is not available from the Research Repository.

Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh C, Whittaker, Frank ORCID: 0000-0002-3728-0291 and Wang, Hua ORCID: 0000-0002-8465-0996 (2019) A joint deep neural network model for pain recognition from face. In: 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), 23 Feb 2019 - 25 Feb 2019, Singapore, Singapore.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/40289
DOI https://doi.org/10.1109/CCOMS.2019.8821780
Official URL https://ieeexplore.ieee.org/document/8821779
ISBN 9781728113227
Funders http://purl.org/au-research/grants/arc/LP150100673
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0806 Information Systems
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords pain; neural network; facial images; recurrent neural networks; visual geometric group face convolutional neural network; deep learning
Citations in Scopus 14 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login