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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild [article]

Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Bjorn Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
2019 arXiv   pre-print
In this paper, we introduce the SEWA database of more than 2000 minutes of audio-visual data of 398 people coming from six cultures, 50% female, and uniformly spanning the age range of 18 to 65 years old  ...  This database aims to be an extremely valuable resource for researchers in affective computing and automatic human sensing and is expected to push forward the research in human behaviour analysis, including  ...  ACKNOWLEDGMENTS This work was funded by the European Community Horizon 2020 [H2020/2014-2020] under grant agreement no. 645094 (SEWA).  ... 
arXiv:1901.02839v1 fatcat:e4btmg2x3ze7zcnp5drqn5nqsu

Behavior prediction in-the-wild

Christos Georgakis, Yannis Panagakis, Maja Pantic
2017 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)  
Data, Features & Protocol All experiments presented in this paper have been conducted on audio-visual episodes from the SEWA Database 2 (SEWA DB), a multilingual dataset of richly annotated facial, vocal  ...  The SEWA DB contains more than 2000 minutes of audio-visual data and includes rich annotations of the recordings in terms of facial landmarks, facial action units (FAU), various vocalizations, verbal cues  ... 
doi:10.1109/aciiw.2017.8272617 dblp:conf/acii/GeorgakisPP17 fatcat:dnr7jhfnw5btdkvpemqt3qjeku

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TPAMI June 2021 1815-1831 SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

Robust subspace learning for static and dynamic affect and behaviour modelling

Christos Georgakis, Maja Pantic, Engineering And Physical Sciences Research Council, European Commission
2017
essential for the deployment of next-generation, emotionally- and socially-competent human-centered interfaces.  ...  Inspired by the well-documented importance of the temporal aspect in perceiving affect and behavior, we direct the bulk of our research efforts into continuous-time modeling of dimensional affect and social  ...  It is worth mentioning that the SEWA Database is the largest and the richest DB of human conversational and emotional behaviour that has been released so far.  ... 
doi:10.25560/52432 fatcat:5vuiijjh6nc3bj75jlx3jifwlq