Add to ORKGMethodology of emotional state recognition with face image is developed. Based on the wavelet features algorithm of emotional state recognition is presented. Program of recognition is designed. Testing on samples from JAFFE database has shown high efficiency of the offered algorithm
Emotion, as a psychophysiological state, plays an important role in human communications and daily l...
In this paper, authors tried to develop reduced combinational features for emotional speech recognit...
We propose a study of the mathematical properties of voice as an audio signal. This work includes si...
Methodology of emotional state recognition with face image is developed. Based on the wavelet featu...
In this paper, the authors proposes facial expression recognition algorithm of human being based on ...
Electroencephalogram (EEG) signals have been proven to have strong correlation with underlying human...
In the paper we present quite new approach to the problem of human emotion recognition with use of f...
Facial expression is an essential and impressive means of human contact. This is important connectio...
Electroencephalography (EEG) signal analysis is very useful in the assessment of emotion mechanisms....
Abstract—Machine recognition of human emotional state is an important component for efficient human-...
International audienceThis paper propose a new framework for emotion recognition and classification ...
Affect detection combined with a system that dynamically responds to a person’s emotional state allo...
Understanding the emotional state of an individual has become the latest attraction of research in t...
In this paper, we propose to use DWT coefficients as features for emotion recognition from EEG signa...
This dissertation thesis deals with the automatic system for basic emotional facial expressions reco...
Emotion, as a psychophysiological state, plays an important role in human communications and daily l...
In this paper, authors tried to develop reduced combinational features for emotional speech recognit...
We propose a study of the mathematical properties of voice as an audio signal. This work includes si...
Methodology of emotional state recognition with face image is developed. Based on the wavelet featu...
In this paper, the authors proposes facial expression recognition algorithm of human being based on ...
Electroencephalogram (EEG) signals have been proven to have strong correlation with underlying human...
In the paper we present quite new approach to the problem of human emotion recognition with use of f...
Facial expression is an essential and impressive means of human contact. This is important connectio...
Electroencephalography (EEG) signal analysis is very useful in the assessment of emotion mechanisms....
Abstract—Machine recognition of human emotional state is an important component for efficient human-...
International audienceThis paper propose a new framework for emotion recognition and classification ...
Affect detection combined with a system that dynamically responds to a person’s emotional state allo...
Understanding the emotional state of an individual has become the latest attraction of research in t...
In this paper, we propose to use DWT coefficients as features for emotion recognition from EEG signa...
This dissertation thesis deals with the automatic system for basic emotional facial expressions reco...
Emotion, as a psychophysiological state, plays an important role in human communications and daily l...
In this paper, authors tried to develop reduced combinational features for emotional speech recognit...
We propose a study of the mathematical properties of voice as an audio signal. This work includes si...