Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, lips, etc.) but in all previous attempts, it is neglected that all features achieved by NMF ...

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...

To design robots or embodied conversational agents that can accurately display facial expressions indicating an emotional state, we need technology to produce those facial expressions, and research that investigates the relationship between those technologies and human social perception of those artificial faces. Our starting point is assessing human perception of core facial information: Movin...

This study examined the relationships between trait emotional intelligence (EI) and tasks involving the recognition of facial expressions of emotion. Two facial expression recognition tasks using the inspection time (IT) paradigm assessed speed of emotional information processing. An unspeeded emotion recognition task was also included, and a symbol IT task was used to assess speed of processin...

Emotion recognition is an important part of Human-Computer Interaction (HCI). It has various applications in industrial and commercial sectors. In the context of emotion classification, HCI has been divided into three major modalities: vocal-, facial-, and gesture-based recognition. This title focuses solely on audio based input. Humans use intrinsic skills to infer characteristics denoting the...

Perceiving facial expressions of emotion to infer the emotional states of others is central to the regulation of individual and social behavior. Results from individual studies on whether those with Parkinson’s disease (PD) are impaired in perceiving facial expressions of emotion are mixed. Despite these mixed results, a recent meta-analysis (Gray & Tickle-Degnen, 2010) showed an overall averag...

From the last decade, studies on human facial emotion recognition revealed that computing models based on regression modelling can produce applicable performance. In this study, an automatic facial expression realtime system was built and tested. The method is used in this study has been used widely in different areas such as Local Binary Pattern method, which has been used in many research pro...

The Chinese Facial Emotion Recognition Database (CFERD), a computer-generated three-dimensional (3D) paradigm, was developed to measure the recognition of facial emotional expressions at different intensities. The stimuli consisted of 3D colour photographic images of six basic facial emotional expressions (happiness, sadness, disgust, fear, anger and surprise) and neutral faces of the Chinese. ...

Many patients with bipolar disorder (BD) have difficulties in facial emotion recognition, which may also be impaired in maltreated children and in subjects who have a positive history of childhood traumatic experiences. Childhood trauma is reported with a high prevalence in BD and it is considered a risk factor for the disorder. As the relationship between facial emotion recognition and childho...

BACKGROUND Alcohol abuse and dependence can cause a wide variety of cognitive, psychomotor, and visual-spatial deficits. It is questionable whether this condition is associated with impairments in the recognition of affective and/or emotional information. Such impairments may promote deficits in social cognition and, consequently, in the adaptation and interaction of alcohol abusers with their ...