naa a22 4500 510739776 CHVBK 20180411083024.0 cr unu---uuuuu 180411e20131101xx s 000 0 eng 10.1007/s12193-013-0122-3 doi (NATIONALLICENCE)springer-10.1007/s12193-013-0122-3 Induction, recording and recognition of natural emotions from facial expressions and speech prosody [Elektronische Daten] [Kostas Karpouzis, George Caridakis, Roddy Cowie, Ellen Douglas-Cowie] Recording and annotating a multimodal database of natural expressivity is a task that requires careful planning and implementation, before even starting to apply feature extraction and recognition algorithms. Requirements and characteristics of such databases are inherently different than those of acted behaviour, both in terms of unconstrained expressivity of the human participants, and in terms of the expressed emotions. In this paper, we describe a method to induce, record and annotate natural emotions, which was used to provide multimodal data for dynamic emotion recognition from facial expressions and speech prosody; results from a dynamic recognition algorithm, based on recurrent neural networks, indicate that multimodal processing surpasses both speech and visual analysis by a wide margin. The SAL database was used in the framework of the Humaine Network of Excellence as a common ground for research in everyday, natural emotions. OpenInterface Association, 2013 Affective computing nationallicence Multimodal emotion recognition nationallicence Emotion induction methods nationallicence Karpouzis Kostas Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, Athens, Greece aut Caridakis George Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, Athens, Greece aut Cowie Roddy School of Psychology, Queen's University, Belfast, Belfast, UK aut Douglas-Cowie Ellen School of Psychology, Queen's University, Belfast, Belfast, UK aut Journal on Multimodal User Interfaces Springer Berlin Heidelberg 7/3(2013-11-01), 195-206 1783-7677 7:3<195 2013 7 12193 https://doi.org/10.1007/s12193-013-0122-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12193-013-0122-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Karpouzis Kostas Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, Athens, Greece aut NATIONALLICENCE 700 1- Caridakis George Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, Athens, Greece aut NATIONALLICENCE 700 1- Cowie Roddy School of Psychology, Queen's University, Belfast, Belfast, UK aut NATIONALLICENCE 700 1- Douglas-Cowie Ellen School of Psychology, Queen's University, Belfast, Belfast, UK aut NATIONALLICENCE 773 0- Journal on Multimodal User Interfaces Springer Berlin Heidelberg 7/3(2013-11-01), 195-206 1783-7677 7:3<195 2013 7 12193 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer