Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities

Article Details
Title:	Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities
Article URLs:	https://doi.org/10.1109/FG.2018.00044 http://doi.ieeecomputersociety.org/10.1109/FG.2018.00044
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Authors:	Mohammad A. Haque	Aalborg University, Visual Analysis of People Lab
	Ruben B. Bautista	Universitat Autnoma de Barcelona, Computer Vision Center
	Fatemeh Noroozi	University of Tartu
	Kaustubh Kulkarni	Universitat Autnoma de Barcelona, Computer Vision Center
	Christian B. Laursen	Aalborg University, Dept. of Health Science and Technology
	Ramin Irani	Aalborg University, Visual Analysis of People Lab
	Marco Bellantonio	Universitat Autnoma de Barcelona, Computer Vision Center
	Sergio Escalera	Universitat Autnoma de Barcelona, Computer Vision Center
	Gholamreza Anbarjafari	University of Tartu
	Kamal Nasrollahi	Aalborg University, Visual Analysis of People Lab
	Ole Kæseler Andersen	Aalborg University, Dept. of Health Science and Technology
	Erika G. Spaich	Aalborg University, Dept. of Health Science and Technology
	Thomas B. Moeslund	Aalborg University, Visual Analysis of People Lab
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://www.vap.aau.dk/mintpain-database/
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DBLP Key:	conf/fgr/HaqueBNKLIBEANA18
Author Comments:

IEEE Face and Gesture Recognition, FG 2018