Two studies are presented, in which emotional vocal recordings were made using a computer emotion induction task and an imagination technique. Concurrent recordings were made of a variety of physiological parameters, including electroglottograph, respiration, electrocardiogram, and surface electromyogram (muscle tension). Acoustic parameters pertaining to voice quality, including F0 floor, F0 r...

Since emotions play an important role in the daily life of human beings, the need and importance of automatic emotion recognition has grown with increasing role of human computer interface applications. Emotion recognition could be done from the text, speech, facial expression or gesture. In this paper, we concentrate on recognition of “inner” emotions from electroencephalogram (EEG) signals. W...

Using computer to generate crowd animation to understand the behavior choice and making decision of individuals in crowd has become a trend in several fields. And group emotions have a great impact on group behaviors and group outcomes. Based on the researches of group emotions described by Hatifield, we propose a quantitative method to building the group emotion model which is focus on a group...

The present study examined the relationship between self-generated emotions and physical performance. All participants took part in five emotion induction conditions (happiness, anger, anxiety, sadness, and an emotion-neutral state) and we investigated their influence on the force of the finger musculature (Experiment 1), the jump height of a counter-movement jump (Experiment 2), and the veloci...

We performed quantitative meta-analyses on 65 neuroimaging studies of emotion. In an earlier report (NeuroImage 16 (2002), 331). we examined the effects of induction method, specific emotions, and cognitive demand in emotional tasks. This paper focuses on the effects of emotional valence (positive vs negative and approach vs withdrawal) and gender on regional brain activations, with particular ...

Pattern classification of human brain activity provides unique insight into the neural underpinnings of diverse mental states. These multivariate tools have recently been used within the field of affective neuroscience to classify distributed patterns of brain activation evoked during emotion induction procedures. Here we assess whether neural models developed to discriminate among distinct emo...

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...

Is music ubiquitous in part because it is causally linked to emotion? In this article, a comprehensive theoretical and methodological reevaluation is presented of a classical problem: The direct induction of emotion by music (M3 E). The author’s Prototypical Emotion-Episode Model (PEEM) is used in the conceptual critique. A close scrutiny of the major published studies, and the author’s new dat...

The current state of research on emotion effects on voice and speech is reviewed and issues for future research efforts are discussed. In particular, it is suggested to use the Brunswikian lens model as a base for research on the vocal communication of emotion. This approach allows one to model the complete process, including both encoding (expression), transmission, and decoding (impression) o...

Progress towards goals is intertwined with emotional responding, yet little is known about how emotions are regulated during this process. This is especially pertinent in disorders characterized by emotional and goal dysregulation, such as bipolar disorder (BD) and major depressive disorder (MDD). The current study experimentally examined the influence of two emotion regulation strategies -rumi...