Recent researches into human-machine communication make more emphasis on the recognition of nonverbal information, especially on the topic of emotional reaction. Many kinds of physiological characteristics are used to extract emotions, such as voice, facial expression, hand gesture, body movement, even heartbeat and blood pressure. In this paper, based on the idea that humans are capable of det...

This paper outlines a way for thinking about continuity and change in childhood anxiety symptoms. Considerations for a model of continuity and change in anxious emotion are discussed first. Then, a perspective which may resolve inconsistencies across studies on the stability of childhood anxiety problems overtime is presented. The perspective views dysregulation of the anxiety response system a...

Feature extraction and accurate classification of the emotion-related EEG-characteristics have a key role in success of emotion recognition systems. In this paper, an optimal EEG-based emotion recognition algorithm based on spectral features and neural network classifiers is proposed. In this algorithm, spectral, spatial and temporal features are selected from the emotion-related EEG signals by...

To understand the other person’s emotion, we should know the situations in which the person is surrounded and the personality of the person. In most previous studies, however, these important characteristics don’t be considered, and emotion recognition has been considered as a problem of classifying texts. In this paper, we attempt to novel approaches to utilize situational information and pers...

Abstract— Facial emotion is vital path for human contact and also used in numerous real applications. Facial expression identification has in recent times become a hopeful investigate area. Their applications include human-computer interface, human emotion examination robot control, driver state surveillance and medical fields. This paper aims to perform emotion classification scheme to identif...

speech emotion can add more information to speech in comparison to available textual information. however, it will also lead to some problems in speech recognition process. in a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech par...

This article presents the first attempt to investigate the existence of possible quantitative correlations among the physical characteristics of emotional portrayals and the emotions perceived by humans during their listening. Our aim was: a) to design and develop a new investigation protocol; b) to obtain information useful to recognition and synthesis of emotions conveyed by the human voice. ...

Emotion primitive descriptions are an important alternative to classical emotion categories for describing a human’s affective expressions. We build a multi-dimensional emotion space composed of the emotion primitives of valence, activation, and dominance. In this study, an image-based, text-free evaluation system is presented that provides intuitive assessment of these emotion primitives, and ...

Despite decades of research on social capital, studies that explore the relationship between political institutions and generalized trust-a key element of social capital-across time are sparse. To address this issue, we use various cross-national public-opinion data sets including the World Values Survey and employ pooled time-series OLS regression and fixed- and random-effects estimation techn...

Schizophrenia is one of the most devastating of all mental illnesses, and has dimensional characteristics that include both positive and negative symptoms. One problem reported in schizophrenia patients is that they tend to show deficits in face emotion processing, on which negative symptoms are thought to have stronger influence. In this study, four event-related potential (ERP) components (P1...