Expression of emotional state is considered to be a core facet of an individual's emotional competence. Emotional processing in BN has not been often studied and has not been considered from a broad perspective. This study aimed at examining the implicit and explicit emotional expression in BN patients, in the acute state and after recovery. Sixty-three female participants were included: 22 BN,...

Background Parkinson's disease (PD) patients exhibit deficits in emotional recognition and expression abilities, including emotional faces and voices. The aim of this study was to explore emotional processing in pre-deep brain stimulation (pre-DBS) PD patients using two sensory modalities (visual and auditory). Methods Fifteen PD patients who needed DBS surgery and 15 healthy, age- and gender...

I nvoluntary emotional expression disorder (IEED) is a neurologic condition characterized by uncontrolled or exaggerated episodes of crying, laughing, or other emotional displays without an apparent stimulus to trigger such responses. Associated with a number of neurologic conditions, it is considered to be a disorder of disinhibition of emotional expression rather than a disturbance of feeling...

This paper discusses the transference process of emotional states driven by psychological energy in the active field state space and also builds a robot expression model based on the Hidden Marov Models(HMM). Facial expressions and behaviours are two important channels for human‐robot interaction. Robot performance based on a static emotional state cannot vividly display dyna...

Aspects of emotional facial expression (responsivity, appropriateness, intensity) were examined in brain-damaged adults with right or left hemisphere cerebrovascular lesions and in normal controls. Subjects were videotaped during experimental procedures designed to elicit emotional facial expression and non-emotional facial movement (paralysis, mobility, praxis). On tasks of emotional facial ex...

An automatic Facial Expression Recognition (FER) model with Adaboost face detector, feature selection based on manifold learning and synergetic prototype based classifier has been proposed. Improved feature selection method and proposed classifier can achieve favorable effectiveness to performance FER in reasonable processing time.

This project is about facial asymmetry, its connection to emotional expression, and methods of measuring facial asymmetry in videos of faces. The research was motivated by two factors: firstly, there was a real opportunity to develop a novel measure of asymmetry that required minimal human involvement and that improved on earlier measures in the literature; and secondly, the study of the relati...

Change in a speaker’s emotion is a fundamental component in human communication. Automatic recognition of spontaneous emotion would significantly impact human-computer interaction and emotion-related studies in education, psychology and psychiatry. In this paper, we explore methods for detecting emotional facial expressions occurring in a realistic human conversation setting—the Adult Attachmen...

Background and Purpose: Communication has become a core topic in nursing care and investigations on this topic could have a significant impact on increasing nursing quality services. The present study aims to evaluate the communication skills and nursing staff component focusing on emotional management, others' perception and self-expression. Methods: This is a cross-sectional descriptive-analy...

Objective: given the prevalence of divorce and the growing trend of marital problems, it is necessary to scrutinythe factors affecting the interpersonal relationships of couples. Therefore, this study  conducted to investigate the mediating role of self-compassion in explaining the causal relationship between communication skills and emotional expression with the empathy of divorce applicants. ...