Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

FL Sánchez, I Hupont, S Tabik, F Herrera - Information Fusion, 2020 - Elsevier
Crowd behaviour analysis is an emerging research area. Due to its novelty, a proper
taxonomy to organise its different sub-tasks is still missing. This paper proposes a taxonomic …

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 …

Affective image content analysis: Two decades review and new perspectives

S Zhao, X Yao, J Yang, G Jia, G Ding… - … on Pattern Analysis …, 2021 - ieeexplore.ieee.org
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …

Emotiw 2018: Audio-video, student engagement and group-level affect prediction

A Dhall, A Kaur, R Goecke, T Gedeon - Proceedings of the 20th ACM …, 2018 - dl.acm.org
This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW
2018 is a grand challenge in the ACM International Conference on Multimodal Interaction …

Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks

A TS, RMR Guddeti - Education and information technologies, 2020 - Springer
Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …

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 …

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 …

[HTML][HTML] 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 …

Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features

GV Reddy, CVRD Savarni, S Mukherjee - Cognitive Systems Research, 2020 - Elsevier
In spite of the recent advancements in the field of deep learning based techniques for facial
expression recognition, the efficiency of the state-of-the-art recognition methods in the wild …

Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion

D Ognibene, R Wilkens, D Taibi… - Frontiers in Artificial …, 2023 - frontiersin.org
Social media have become an integral part of our lives, expanding our interlinking
capabilities to new levels. There is plenty to be said about their positive effects. On the other …