نتایج جستجو برای: facial expression recognition

تعداد نتایج: 1150275  

Journal: :مجله سازمان نظام پزشکی جمهوری اسلامی ایران 0

introduction: according to role of emotions in human’s life, if they can be recognized contemporary with facial expression by eeg signals, it can discriminate between real abd artificial emotions. this ability can be applied in lie detector and be also helpful to patients that able to feel emotions but can’t show it with facial expression. methods: in this study, some emotion induction experime...

Gholamreza Ardeshir Niloofar Zarei Sina Mohseni

Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

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...

Classical LBP such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. In this paper, we introduce an improved LBP algorithm to solve these problems that utilizes Fast PCA algorithm for reduction of vector dimensions of extracted features. In other words, proffer method (Fast PCA+LBP) is an improved LBP algorithm that is extracted ...

Journal: :IEEE Transactions on Affective Computing 2011

A. Aghagolzadeh, E. Kabir, H. Seyedarabi, S. Khanmohammadi,

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

Journal: :journal of electrical and computer engineering innovations 2014
sina mohseni gholamreza ardeshir niloofar zarei

automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

Journal: :iranian journal of public health 0
maryam malmir dept. of exceptional children psychology, science & research branch, islamic azad university, tehran, iran. maryam seifenaraghi dept. of exceptional children psychology, science & research branch, islamic azad university, tehran, iran. dariush d farhud school of public health, tehran university of medical sciences, tehran, iran ; dept. of basic sciences, iranian academy of medical sciences, tehran, iran. g ali afrooz dept. of exceptional children psychology, tehran university, tehran, iran. mohammad khanahmadi dept. of psychology, allame tabatabaii university, tehran, iran.

according to the mother's key roles in bringing up emotional and cognitive abilities of mentally retarded children and respect to positive psychology in recent decades, this research is administered to assess the relation between mother's happiness level with cognitive- executive functions (i.e. attention, working memory, inhibition and planning) and facial emotional recognition ability as two ...

This work presents a technique for the analysis of Facial Electromyogram signal activities to classify five different facial expressions for Computer-Muscle Interfacing applications. Facial Electromyogram (FEMG) is a technique for recording the asynchronous activation of neuronal inside the face muscles with non-invasive electrodes. FEMG pattern recognition is a difficult task for the researche...

Journal: :Research Journal of Applied Sciences 2019

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