Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
[HTML][HTML] A survey on human face expression recognition techniques
IM Revina, WRS Emmanuel - Journal of King Saud University-Computer …, 2021 - Elsevier
Abstract Human Face expression Recognition is one of the most powerful and challenging
tasks in social communication. Generally, face expressions are natural and direct means for …
tasks in social communication. Generally, face expressions are natural and direct means for …
Deep-emotion: Facial expression recognition using attentional convolutional network
S Minaee, M Minaei, A Abdolrashidi - Sensors, 2021 - mdpi.com
Facial expression recognition has been an active area of research over the past few
decades, and it is still challenging due to the high intra-class variation. Traditional …
decades, and it is still challenging due to the high intra-class variation. Traditional …
A survey of ai-based facial emotion recognition: Features, ml & dl techniques, age-wise datasets and future directions
Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …
A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation
Significant research has been performed on credit risk evaluation, with many machine
learning and data mining techniques being employed for financial decision-making. The …
learning and data mining techniques being employed for financial decision-making. The …
Multi-objective differential evolution for feature selection in facial expression recognition systems
This paper proposes an efficient feature selection system applied to a Facial Expression
Recognition (FER) system. This system, capable of recognizing seven prototypical emotions …
Recognition (FER) system. This system, capable of recognizing seven prototypical emotions …
Facial emotion distribution learning by exploiting low-rank label correlations locally
Emotion recognition from facial expressions is an interesting and challenging problem and
has attracted much attention in recent years. Substantial previous research has only been …
has attracted much attention in recent years. Substantial previous research has only been …
Fast facial expression recognition using local binary features and shallow neural networks
Facial expression recognition applications demand accurate and fast algorithms that can run
in real time on platforms with limited computational resources. We propose an algorithm that …
in real time on platforms with limited computational resources. We propose an algorithm that …
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 …
Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning
A major challenge in automating the production of a large number of forecasts, as often
required in many business applications, is the need for robust and reliable predictions …
required in many business applications, is the need for robust and reliable predictions …