Track topics on Twitter Track topics that are important to you
In our everyday lives and social interactions we often try to perceive the emotional states of people. There has been a lot of research in providing machines with a similar capacity of recognizing emotions. From a computer vision perspective, most of the previous efforts have been focusing in analyzing the facial expressions and, in some cases, also the body pose. Some of these methods work remarkably well in specific settings. However, their performance is limited in natural, unconstrained environments. Psychological studies show that the scene context, in addition to facial expression and body pose, contributes important information to our perception of people's emotions. However, the processing of the context for automatic emotion recognition has not been explored in depth, partly due to the lack of proper data. In this paper we present EMOTIC, a dataset of images of people in natural and different situations annotated with their apparent emotion. The EMOTIC database combines two different types of emotion representation: (1) a set of 26 discrete categories, and (2) the continuous dimensions Valence, Arousal, and Dominance. We also present a detailed statistical and algorithmic analysis of the dataset along with annotators' agreement analysis. Using the EMOTIC database we train different CNN models for emotion recognition, combining the information of the person bounding box with the information present in the scene context. Our results show how scene context contributes important information to automatically recognize emotional states and motivate further research in this direction.
This article was published in the following journal.
Name: IEEE transactions on pattern analysis and machine intelligence
Adults are less accurate at recognizing emotions expressed by individuals from a different cultural background. However, the research with children is less clear; whereas some studies suggest better e...
Accumulating studies have reported facial emotion recognition or facial perception impairments in autism spectrum disorder (ASD). To clarify the specificity of the emotion recognition impairment, this...
Patients with schizophrenia can have difficulty recognizing emotion, and the impact of this difficulty on social functioning has been widely reported. However, earlier studies did not thoroughly explo...
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-based and RGB+D-base...
Emotion is composed of cognitive processing, physiological response and behavioral reaction. Heart rate variability (HRV) refers to the fluctuations between consecutive heartbeat cycles, which is cons...
Previous research suggests that people with bipolar disorder have trouble accurately identifying emotions. The goal of this study is to test a novel intervention, emotion recognition modif...
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder, more prevalent than previously thought and heterogeneous in expression, though uniformly characterized by severe social dis...
Parkinson'disease is a neurodegenerative disorder characterised by bradykinesia, rigidity, rest tremor and postural instability. Dopaminergic therapy such as L-Dopa and dopamine agonists u...
Gilles de la Tourette's syndrome is a childhood onset inherited neuropsychiatric disorder characterised by the presence of both multiple motor tics and one or more vocal tics (noises), wit...
Background: The present study aims to identify the mechanisms underlying the deficit in facial emotion recognition reported both in schizophrenia and the 22q11.2 deletion syndrome, and th...
A method of differentiating individuals based on the analysis of qualitative or quantitative biological traits or patterns. This process which has applications in forensics and identity theft prevention includes DNA profiles or DNA fingerprints, hand fingerprints, automated facial recognition, iris scan, hand geometry, retinal scan, vascular patterns, automated voice pattern recognition, and ultrasound of fingers.
A chronic, acquired, idiopathic, progressive eruption of the skin that occurs in the context of RENAL FAILURE. It is sometimes accompanied by systemic fibrosis. The pathogenesis seems to be multifactorial, with postulated involvement of circulating fibrocytes. There is a strong association between this disorder and the use of gadolinium-based contrast agents.
A medical discipline that is based on the philosophy that all body systems are interrelated and dependent upon one another for good health. This philosophy, developed in 1874 by Dr. Andrew Taylor Still, recognizes the concept of "wellness" and the importance of treating illness within the context of the whole body. Special attention is placed on the MUSCULOSKELETAL SYSTEM.
Works consisting of organized collections of data, which have been stored permanently in a formalized manner suitable for communication, interpretation, or processing.
Ability to identify an individual and interpret their feelings and emotions based on their facial expressions.
Collaborations in biotechnology
Commercial and academic collaborations are used throughout the biotechnology and pharmaceutical sector to enhance research and product development. Collaborations can take the form of research and evaluation agreements, licensing, partnerships etc. ...