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 …

Facial expression recognition: A survey

Y Huang, F Chen, S Lv, X Wang - Symmetry, 2019 - mdpi.com
Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

[HTML][HTML] Knowledge-augmented face perception: Prospects for the Bayesian brain-framework to align AI and human vision

M Maier, F Blume, P Bideau, O Hellwich… - Consciousness and …, 2022 - Elsevier
Human visual perception is efficient, flexible and context-sensitive. The Bayesian brain view
explains this with probabilistic perceptual inference integrating prior experience and …

Deep, landmark-free fame: Face alignment, modeling, and expression estimation

FJ Chang, AT Tran, T Hassner, I Masi… - International Journal of …, 2019 - Springer
We present a novel method for modeling 3D face shape, viewpoint, and expression from a
single, unconstrained photo. Our method uses three deep convolutional neural networks to …

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 …

Depressed mood prediction of elderly people with a wearable band

J Choi, S Lee, S Kim, D Kim, H Kim - Sensors, 2022 - mdpi.com
Depression in the elderly is an important social issue considering the population aging of
the world. In particular, elderly living alone who has narrowed social relationship due to …

A case study of facial emotion classification using affdex

M Magdin, Ľ Benko, Š Koprda - Sensors, 2019 - mdpi.com
This paper focuses on the analysis of reactions captured by the face analysis system. The
experiment was conducted on a sample of 50 university students. Each student was shown …

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 …

Joint local-global discriminative subspace transfer learning for facial expression recognition

W Zhang, P Song, W Zheng - IEEE Transactions on Affective …, 2022 - ieeexplore.ieee.org
Traditional facial expression recognition (FER) has achieved satisfactory results to some
extent, and most of the current methods are trained and evaluated on a single database …

Group based emotion recognition from video sequence with hybrid optimization based recurrent fuzzy neural network

V Sreenivas, V Namdeo, EV Kumar - Journal of Big Data, 2020 - Springer
Group-based emotion recognition (GER) is an interesting topic in both security and social
area. In this paper, a GER with hybrid optimization based recurrent fuzzy neural network is …