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 …

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 …

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 …

Automatic group level affect and cohesion prediction in videos

G Sharma, S Ghosh, A Dhall - 2019 8th International …, 2019 - ieeexplore.ieee.org
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 …

An attention model for group-level emotion recognition

A Gupta, D Agrawal, H Chauhan, J Dolz… - Proceedings of the 20th …, 2018 - dl.acm.org
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 …

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 …

Group synchrony for emotion recognition using physiological signals

P Bota, T Zhang, A El Ali, A Fred… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
During group interactions, we react and modulate our emotions and behaviour to the group
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

X Guo, L Polania, B Zhu… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

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 …

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 …