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 …
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 …
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 …
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
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 …
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
This paper introduces an accurate and robust facial expression recognition (FER) system.
For feature extraction, the proposed FER system employs stepwise linear discriminant …
For feature extraction, the proposed FER system employs stepwise linear discriminant …
Multimodal learning for facial expression recognition
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 …
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 …
applied to facial expression recognition applications. The developed algorithm is composed …
Continuous au intensity estimation using localized, sparse facial feature space
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 …
the meaning and function of facial actions often depends in part on their intensity. We …
Spatiotemporal feature extraction for facial expression recognition
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 …
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 …
on the histogram of oriented gradient (HOG) descriptor. This subject-independent method …