Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space
Past research in analysis of human affect has focused on recognition of prototypic
expressions of six basic emotions based on posed data acquired in laboratory settings …
expressions of six basic emotions based on posed data acquired in laboratory settings …
Multimodal prediction of affective dimensions and depression in human-computer interactions
Depression is one of the most common mood disorders. Technology has the potential to
assist in screening and treating people with depression by robustly modeling and tracking …
assist in screening and treating people with depression by robustly modeling and tracking …
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …
everyday human–machine interactions. Appraising human emotional states, behaviors and …
A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
D Kollias, S Zafeiriou - arXiv preprint arXiv:1811.07771, 2018 - arxiv.org
Over the past few years many research efforts have been devoted to the field of affect
analysis. Various approaches have been proposed for: i) discrete emotion recognition in …
analysis. Various approaches have been proposed for: i) discrete emotion recognition in …
LSTM-modeling of continuous emotions in an audiovisual affect recognition framework
Automatically recognizing human emotions from spontaneous and non-prototypical real-life
data is currently one of the most challenging tasks in the field of affective computing. This …
data is currently one of the most challenging tasks in the field of affective computing. This …
Automatic, dimensional and continuous emotion recognition
Recognition and analysis of human emotions have attracted a lot of interest in the past two
decades and have been researched extensively in neuroscience, psychology, cognitive …
decades and have been researched extensively in neuroscience, psychology, cognitive …
Feature pooling of modulation spectrum features for improved speech emotion recognition in the wild
Interest in affective computing is burgeoning, in great part due to its role in emerging
affective human-computer interfaces (HCI). To date, the majority of existing research on …
affective human-computer interfaces (HCI). To date, the majority of existing research on …
A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
D Kollias, S Zafeiriou - arXiv preprint arXiv:2103.15792, 2021 - arxiv.org
Affect recognition based on subjects' facial expressions has been a topic of major research
in the attempt to generate machines that can understand the way subjects feel, act and react …
in the attempt to generate machines that can understand the way subjects feel, act and react …
Multi-modal audio, video and physiological sensor learning for continuous emotion prediction
K Brady, Y Gwon, P Khorrami, E Godoy… - Proceedings of the 6th …, 2016 - dl.acm.org
The automatic determination of emotional state from multimedia content is an inherently
challenging problem with a broad range of applications including biomedical diagnostics …
challenging problem with a broad range of applications including biomedical diagnostics …