A survey of emotion recognition methods with emphasis on E-Learning environments

M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

A comprehensive survey on automatic facial action unit analysis

R Zhi, M Liu, D Zhang - The Visual Computer, 2020 - Springer
Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …

Automatic analysis of facial affect: A survey of registration, representation, and recognition

E Sariyanidi, H Gunes… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Facial expression recognition in video with multiple feature fusion

J Chen, Z Chen, Z Chi, H Fu - IEEE Transactions on Affective …, 2016 - ieeexplore.ieee.org
Video based facial expression recognition has been a long standing problem and attracted
growing attention recently. The key to a successful facial expression recognition system is to …

Human facial expression recognition using stepwise linear discriminant analysis and hidden conditional random fields

MH Siddiqi, R Ali, AM Khan, YT Park… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper introduces an accurate and robust facial expression recognition (FER) system.
For feature extraction, the proposed FER system employs stepwise linear discriminant …

Multimodal learning for facial expression recognition

W Zhang, Y Zhang, L Ma, J Guan, S Gong - Pattern Recognition, 2015 - Elsevier
In this paper, multimodal learning for facial expression recognition (FER) is proposed. The
multimodal learning method makes the first attempt to learn the joint representation by …

Facial expression recognition based on a mlp neural network using constructive training algorithm

H Boughrara, M Chtourou, C Ben Amar… - Multimedia Tools and …, 2016 - Springer
This paper presents a constructive training algorithm for Multi Layer Perceptron (MLP)
applied to facial expression recognition applications. The developed algorithm is composed …

Continuous au intensity estimation using localized, sparse facial feature space

LA Jeni, JM Girard, JF Cohn… - 2013 10th IEEE …, 2013 - ieeexplore.ieee.org
Most work in automatic facial expression analysis seeks to detect discrete facial actions. Yet,
the meaning and function of facial actions often depends in part on their intensity. We …

Spatiotemporal feature extraction for facial expression recognition

SKA Kamarol, MH Jaward, J Parkkinen… - IET Image …, 2016 - Wiley Online Library
A key issue regarding feature extraction is the capability of a technique to extract distinctive
features to represent facial expressions while requiring a low computational complexity. In …

Automated facial expression recognition based on histograms of oriented gradient feature vector differences

U Mlakar, B Potočnik - Signal, Image and Video Processing, 2015 - Springer
This article proposes an efficient automated method for facial expression recognition based
on the histogram of oriented gradient (HOG) descriptor. This subject-independent method …