نتایج جستجو برای: facial emotion recognition

تعداد نتایج: 338549  

2012
Silke Anders Benjamin Sack Anna Pohl Thomas Münte Peter Pramstaller Christine Klein Ferdinand Binkofski

Patients with Parkinson's disease suffer from significant motor impairments and accompanying cognitive and affective dysfunction due to progressive disturbances of basal ganglia-cortical gating loops. Parkinson's disease has a long presymptomatic stage, which indicates a substantial capacity of the human brain to compensate for dopaminergic nerve degeneration before clinical manifestation of th...

Journal: :Developmental Cognitive Neuroscience 2013
Matthew D. Lerner James C. McPartland James P. Morris

This study sought to describe heterogeneity in emotion processing in autism spectrum disorders (ASD) via electrophysiological markers of perceptual and cognitive processes that underpin emotion recognition across perceptual modalities. Behavioral and neural indicators of emotion processing were collected, as event-related potentials (ERPs) were recorded while youth with ASD completed a standard...

2010
Wenming Zheng Hao Tang Zhouchen Lin Thomas S. Huang

Emotion recognition from facial images is a very active research topic in human computer interaction (HCI). However, most of the previous approaches only focus on the frontal or nearly frontal view facial images. In contrast to the frontal/nearly-frontal view images, emotion recognition from non-frontal view or even arbitrary view facial images is much more difficult yet of more practical utili...

Journal: :Journal of the International Neuropsychological Society : JINS 2015
Lucy J Robinson John M Gray Mike Burt I Nicol Ferrier Peter Gallagher

Previous studies of facial emotion processing in bipolar disorder (BD) have reported conflicting findings. In independently conducted studies, we investigate facial emotion labeling in euthymic and depressed BD patients using tasks with static and dynamically morphed images of different emotions displayed at different intensities. Study 1 included 38 euthymic BD patients and 28 controls. Partic...

2007
Aitor Álvarez Idoia Cearreta Juan Miguel López Andoni Arruti Elena Lazkano Basilio Sierra Nestor Garay-Vitoria

Study of emotions in human-computer interaction is a growing research area. Focusing on automatic emotion recognition, work is being performed in order to achieve good results particularly in speech and facial gesture recognition. This paper presents a study where, using a wide range of speech parameters, improvement in emotion recognition rates is analyzed. Using an emotional multimodal biling...

2012
M. Karthigayan M. Rizon R. Nagarajan Sazali Yaacob

Human being possesses an ability of communication through facial emotions in day to day interactions with others. Some study in perceiving facial emotions has fascinated the human computer interaction environments. In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers especially in the area of human emotion recognition by observi...

شیری, اسماعیل, فرقانی, سمانه, نجاتی, وحید,

  Background : Recognition of facial expression is an important factor in establishing a successful social interaction and deficit in this capability can cause defect in child’s social interaction. The purpose of this study was evaluation of emotional recognition training on enhancing perception of emotional expression of faces.   Methods: This was a quasi-experimental pretest- posttest study w...

Journal: :Revista brasileira de psiquiatria 2013
Adolfo Benito Guillermo Lahera Sara Herrera Ramón Muncharaz Guillermo Benito Alberto Fernández-Liria José Manuel Montes

OBJECTIVE To analyze the recognition, identification, and discrimination of facial emotions in a sample of outpatients with bipolar disorder (BD). METHODS Forty-four outpatients with diagnosis of BD and 48 matched control subjects were selected. Both groups were assessed with tests for recognition (Emotion Recognition-40 - ER40), identification (Facial Emotion Identification Test - FEIT), and...

2018
Dhwani Mehta Mohammad Faridul Haque Siddiqui Ahmad Y. Javaid

Extensive possibilities of applications have made emotion recognition ineluctable and challenging in the field of computer science. The use of non-verbal cues such as gestures, body movement, and facial expressions convey the feeling and the feedback to the user. This discipline of Human-Computer Interaction places reliance on the algorithmic robustness and the sensitivity of the sensor to amel...

2012
Xiaobai Li

1. STATEMENT OF THE PROBLEM To recognize affective states is important in humancomputer interaction. Many researchers are committed to develop methods that can help computers to better understand people’s emotion. Nowadays most work about emotion recognition focus on facial expression analysis. But people’s affect status can be represented through the whole body and facial expression is only on...

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