This paper describes a novel Hybrid Emotional Neural Network (HENN) for classification of emotions from Facial expressions. The novelty of this work is that along with the parameters of the feed forward neural network, i.e. the learning rate, momentum, new parameters such as anxiety and confidence is taken as emotional parameters are from Gabor Wavelet and are used to update emotional parameters of the network. An improved Back propagation algorithm is used for training of the proposed neural network. Features are extracted from facial expressions by applying Gabor wavelet and Discrete Cosine Transform (DCT). Both the feature sets are high dimensional so Principle Component Analysis (PCA) are used to reduce the dimensionality of features. T...
Facial expression recognition has been an interested topic research for a recent decade. Many method...
Abstract — This paper discusses the application of feature extraction of facial expressions with com...
Abstract: Human facial expression is controlled by neurons and their neural network. It is also depe...
This study proposes a classification-based facial expression recognition method using a bank of mult...
Human feelings are mental conditions of sentiments that emerge immediately as opposed to cognitive e...
Facial expression recognition is one of the most active fields of research. Many facial expression r...
This paper focuses on a system of recognizing human’s emotion from a detected human’s face. The anal...
Abstract—Facial expression recognition is a key element in human communication.Emotions play a vital...
Emotion recognition has important applications in human-computer interaction. Various sources such a...
Part 6: Classification Pattern RecognitionInternational audienceRecognizing the emotional state of a...
Automatic analysis of facial expressions is rapidly becoming an area of intense interest in computer...
ABSTRACT—Recognition of emotions in facial expressions has become a famous technique in 21st century...
People's emotions are rarely put into words, far more often they are expressed through other cues. T...
Emotions are a fundamental part of the personal and social skills of the human being. The behavior, ...
Facial expression recognition is a challenging problem in the scientific field of computer vision. S...
Facial expression recognition has been an interested topic research for a recent decade. Many method...
Abstract — This paper discusses the application of feature extraction of facial expressions with com...
Abstract: Human facial expression is controlled by neurons and their neural network. It is also depe...
This study proposes a classification-based facial expression recognition method using a bank of mult...
Human feelings are mental conditions of sentiments that emerge immediately as opposed to cognitive e...
Facial expression recognition is one of the most active fields of research. Many facial expression r...
This paper focuses on a system of recognizing human’s emotion from a detected human’s face. The anal...
Abstract—Facial expression recognition is a key element in human communication.Emotions play a vital...
Emotion recognition has important applications in human-computer interaction. Various sources such a...
Part 6: Classification Pattern RecognitionInternational audienceRecognizing the emotional state of a...
Automatic analysis of facial expressions is rapidly becoming an area of intense interest in computer...
ABSTRACT—Recognition of emotions in facial expressions has become a famous technique in 21st century...
People's emotions are rarely put into words, far more often they are expressed through other cues. T...
Emotions are a fundamental part of the personal and social skills of the human being. The behavior, ...
Facial expression recognition is a challenging problem in the scientific field of computer vision. S...
Facial expression recognition has been an interested topic research for a recent decade. Many method...
Abstract — This paper discusses the application of feature extraction of facial expressions with com...
Abstract: Human facial expression is controlled by neurons and their neural network. It is also depe...