Automatic emotion recognition for groups: a review
EA Veltmeijer, C Gerritsen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
Emotiw 2019: Automatic emotion, engagement and cohesion prediction tasks
A Dhall - 2019 International Conference on Multimodal …, 2019 - dl.acm.org
This paper describes the Seventh Emotion Recognition in the Wild (EmotiW) Challenge. The
EmotiW benchmarking platform provides researchers with an opportunity to evaluate their …
EmotiW benchmarking platform provides researchers with an opportunity to evaluate their …
Group emotion detection based on social robot perception
M Quiroz, R Patiño, J Diaz-Amado, Y Cardinale - Sensors, 2022 - mdpi.com
Social robotics is an emerging area that is becoming present in social spaces, by
introducing autonomous social robots. Social robots offer services, perform tasks, and …
introducing autonomous social robots. Social robots offer services, perform tasks, and …
Automatic group level affect and cohesion prediction in videos
This paper proposes a database for group level emotion recognition in videos. The
motivation is coming from the large number of information which the users are sharing …
motivation is coming from the large number of information which the users are sharing …
An attention model for group-level emotion recognition
In this paper we propose a new approach for classifying the global emotion of images
containing groups of people. To achieve this task, we consider two different and …
containing groups of people. To achieve this task, we consider two different and …
A survey on factors affecting facial expression recognition based on convolutional neural networks
E Dufourq - Conference of the South African Institute of Computer …, 2020 - dl.acm.org
Humans are generally good at recognising emotions which are portrayed on another
person's face. Can the same be said for machines? In recent years, there has been a …
person's face. Can the same be said for machines? In recent years, there has been a …
Group synchrony for emotion recognition using physiological signals
During group interactions, we react and modulate our emotions and behaviour to the group
through phenomena including emotion contagion and physiological synchrony. Previous …
through phenomena including emotion contagion and physiological synchrony. Previous …
Graph neural networks for image understanding based on multiple cues: Group emotion recognition and event recognition as use cases
A graph neural network (GNN) for image understanding based on multiple cues is proposed
in this paper. Compared to traditional feature and decision fusion approaches that neglect …
in this paper. Compared to traditional feature and decision fusion approaches that neglect …
Group-level emotion recognition using hybrid deep models based on faces, scenes, skeletons and visual attentions
X Guo, B Zhu, LF Polanía, C Boncelet… - Proceedings of the 20th …, 2018 - dl.acm.org
This paper presents a hybrid deep learning network submitted to the 6th Emotion
Recognition in the Wild (EmotiW 2018) Grand Challenge [9], in the category of group-level …
Recognition in the Wild (EmotiW 2018) Grand Challenge [9], in the category of group-level …
A self-fusion network based on contrastive learning for group emotion recognition
X Wang, D Zhang, HZ Tan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Group emotion recognition (GER) from image has attracted much attention in recent years.
Networks using attention mechanism for GER have shown great potential. However, the …
Networks using attention mechanism for GER have shown great potential. However, the …