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EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions

Egede, JO; Song, S; Olugbade, TA; Wang, C; Williams, ACDC; Meng, H; Aung, M; ... Bianchi-Berthouze, N; + view all (2020) EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. In: Struc, V and GomezFernandez, F, (eds.) (Proceedings) 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG). (pp. pp. 849-856). IEEE Green open access

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Type: Proceedings paper
Title: EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
Event: 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG)
Location: Buenos Aires, ARGENTINA
Dates: 16 November 2020 - 20 November 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/FG47880.2020.00078
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Computer Science, Engineering, LOW-BACK-PAIN, NEURAL-NETWORKS, PATTERNS, RECOGNITION, CLASSIFICATION, MOTION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10116032
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