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PubMed Journals Articles About "Context Based Emotion Recognition Using EMOTIC Dataset" RSS

19:21 EDT 16th June 2019 | BioPortfolio

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Showing "Context Based Emotion Recognition using EMOTIC Dataset" PubMed Articles 1–25 of 37,000+

Context Based Emotion Recognition using EMOTIC Dataset.

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. Ps...


Impaired Recognition of Negative Facial Expressions is Partly Related to Facial Perception Deficits in Adolescents with High-Functioning Autism Spectrum Disorder.

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 study examined the relationships between facial emotion recognition and facial perception abilities in ASD. Twenty-two adolescents with high-functioning ASD (20 males) and 22 typically developing (TD) adolescents (16 males) aged 11-18 years undertook a facial emotion labeling task and a facial perception test...

Children's recognition of emotion expressed by own-race versus other-race faces.

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 emotion recognition for own-race and own-culture faces, others have found no such relationship. The current study examined the influence of race on emotion recognition in children and adults who share a cultural background (i.e., Canadian). Based on previous studies, we hypothesized that participants would demon...


Do patients from the Democratic Republic of Congo with schizophrenia have facial emotion recognition deficits?

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 explore how this deficit may vary according to emotion intensity, or how it may differ among individuals and across cultures. In the present study, our aim was to identify possible deficits in facial emotion recognition across a wide range of emotions of different intensities among patients with schizophrenia from t...

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding.

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-based action recognition benchmarks have a number of limitations, including the lack of large-scale training samples, realistic number of distinct class categories, diversity in camera views, varied environmental conditions, and variety of human subjects. In this work, we introduce a large-scale dataset for RGB+D h...

Heart rate variability monitoring for emotion and disorders of emotion.

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 considered as non-invasive method for evaluating cardiac autonomic function. HRV analysis plays an important role in emotional study and detection. In this paper, the physiological foundation of HRV is briefly described, and then the relevant literatures about the HRV-based emotion studies for the performances of H...

Facial Emotion Recognition in Deaf Children: Evidence from Event-related Potentials and Event-related Spectral Perturbation Analysis.

Impairment of facial emotion recognition ability has been reported in deaf children, but few researches have examined the neural mechanism of this impairment. This study applied the electroencephalogram (EEG) technique to investigate the emotion recognition ability in 31 deaf children and 30 hearing controls with facial emotion recognition task. Results from behavioral task showed that deaf children exhibited lower accuracy compared to hearing controls. As for EEG analysis, results showed that deaf children...

Decoupling of spontaneous facial mimicry from emotion recognition in schizophrenia.

Past research indicates that spontaneous mimicry facilitates the decoding of others' emotions, leading to enhanced social perception and interpersonal rapport. Individuals with schizophrenia (SZ) show consistent deficits in emotion recognition and expression associated with poor social functioning. Given the prominence of blunted affect in schizophrenia, it is possible that spontaneous facial mimicry may also be impaired. However, studies assessing automatic facial mimicry in schizophrenia have yielded mixe...

Attachment avoidance and fearful prosodic emotion recognition predict depression maintenance.

Insecure attachment cognitions, emotion recognition biases, and their interaction are important contributors to depression susceptibility. The present study, with a prospective longitudinal design, investigated the role of negative emotion recognition in moderating the linkage from insecure attachment cognitions to elevated depressive symptoms. A sample of 96 depression-prone individuals completed measures for attachment anxiety and attachment avoidance, depression symptom severity, and a computerized facia...

Investigating Sex Differences in Emotion Recognition, Learning, and Regulation Among Youths With Conduct Disorder.

Conduct disorder (CD) is a serious neurodevelopmental disorder marked by notable higher prevalence rates for boys than girls. Converging evidence suggests that CD is associated with impairments in emotion recognition, learning and regulation. However, it is not known whether there are sex differences in the relationship between CD and emotion dysfunction. Prior studies on emotion functioning in CD have so far been underpowered for investigating sex differences. Therefore, our primary aim was to characterize...

A novel machine learning analysis of eye-tracking data reveals suboptimal visual information extraction from facial stimuli in individuals with autism.

We propose a new method of quantifying the utility of visual information extracted from facial stimuli for emotion recognition. The stimuli are convolved with a Gaussian fixation distribution estimate, revealing more information in those facial regions the participant fixated on. Feeding this convolution to a machine-learning emotion recognition algorithm yields an error measure (between actual and predicted emotions) reflecting the quality of extracted information. We recorded the eye-movements of 21 parti...

Confidence of emotion expression recognition recruits brain regions outside the face perception network.

Metacognitive beliefs about emotions expressed by others are crucial to social life, yet very little studied. To what extent does our confidence in emotion expression recognition depend on perceptual or other non-perceptual information? We obtained behavioral and MRI measures while participants judged either the emotion in ambiguous faces or the size of two lines flanking these faces, and then rated their confidence on decision accuracy. Distinct behavioral and neural mechanisms were identified for confiden...

EEG based emotion recognition by combining functional connectivity network and local activations.

Spectral power analysis plays a predominant role in electroencephalogram (EEG) based emotional recognition. It can reflect activity differences among multiple brain regions. In addition to activation difference, different emotions also involve different large-scale network during related information processing. In this work, both information propagation patterns and activation difference in the brain were fused to improve the performance of emotional recognition.

The importance of stimulus variability when studying face processing using fast periodic visual stimulation: A novel 'mixed-emotions' paradigm.

Fast Periodic Visual Stimulation (FPVS) with oddball stimuli has been used to investigate discrimination of facial identity and emotion, with studies concluding that oddball responses indicate discrimination of faces at the conceptual level (i.e., discrimination of identity and emotion), rather than low-level perceptual (visual, image-based) discrimination. However, because previous studies have utilised identical images as base stimuli, physical differences between base and oddball stimuli, rather than rec...

Spatial and feature-based attention to expressive faces.

Facial emotion is an important cue for deciding whether an individual is potentially helpful or harmful. However, facial expressions are inherently ambiguous and observers typically employ other cues to categorize emotion expressed on the face, such as race, sex, and context. Here, we explored the effect of increasing or reducing different types of uncertainty associated with a facial expression that is to be categorized. On each trial, observers responded according to the emotion and location of a peripher...

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolution Neural Network.

Automated emotion recognition plays a vital role in problem solving, decision making and social activities of human life. An emotion is a set of reactions and experience to a given conditions, which are modeled as a linear combination of arousal and valence dimensions. Emotional pattern recognition based on physiological signals is a relatively new and fast growing area of research. Several physiological signals such as ECG, EEG, and EMG have been used for emotion recognition. Analysis of Electrodermal Acti...

Empathic accuracy: Worse recognition by older adults and less transparency in older adult expressions compared to young adults.

We examined empathic accuracy, comparing young versus older perceivers, and young versus older emoters. Empathic accuracy is related to but distinct from emotion recognition because perceiver judgments of emotion are based, not on what an emoter looks to be feeling, but on what an emoter says s/he is actually feeling.

Interoceptive accuracy, emotion recognition, and emotion regulation in preschool children.

Little is known about the conscious experience of internal bodily sensations in preschool-aged children. Given that preschoolers are in the most rapid phase of brain development, and display profound emotional development, it was the aim of the present study to establish an adapted interoceptive accuracy paradigm and to investigate associations between sociodemographic (age, sex) and emotional variables with interoceptive accuracy. Forty-nine children (aged 4-6 years) completed the jumping jack paradigm, ...

The recognition of 18 facial-bodily expressions across nine cultures.

An enduring focus in the science of emotion is the question of which psychological states are signaled in expressive behavior. Based on empirical findings from previous studies, we created photographs of facial-bodily expressions of 18 states and presented these to participants in nine cultures. In a well-validated recognition paradigm, participants matched stories of causal antecedents to one of four expressions of the same valence. All 18 facial-bodily expressions were recognized at well above chance leve...

Automatic and Controlled Emotion Regulation in Aging: The Case of Expressive Suppression.

Background/Study Context: To explain the high levels of well-being reported by older adults, socioemotional selectivity theory suggests that emotion regulation becomes more automated with age. Hence, the objective of the present study was to determine whether automatic emotion regulation becomes indeed more efficient with age, as controlled regulation becomes less efficient. We tested this hypothesis with regard to a specific emotion regulation strategy, expressive suppression, and a discrete emotion: disgu...

Object Activity Scene Description, Construction, and Recognition.

Action recognition is a critical task for social robots to meaningfully engage with their environment. 3-D human skeleton-based action recognition has been an attractive research area in recent years. Although the existing approaches are good at action recognition, it is a great challenge to recognize a group of actions in an activity scene. To tackle this problem, at first, we partition the scene into several primitive actions (PAs)-based upon motion attention mechanism. Then, the PAs are described by the ...

Parenting in mothers with schizophrenia and its relation to facial emotion recognition deficits- a case control study.

Difficulties in parenting and Facial Emotion Recognition deficits (FERD) in persons with schizophrenia have been demonstrated independently. However, the relationship between parenting deficits and FERD in mothers with schizophrenia is yet to be explored.

Time course of emotion effects during emotion-label and emotion-laden word processing.

Previous studies have investigated the time course of emotion effects during emotion-word processing, but no consistent pattern has emerged. Notably, most of these studies intermixed emotion-label words (e.g., "happy") with emotion-laden words (e.g., "successful"), although emotion activation differences for these two types of words have been documented. Here, we separately investigated the time course of the emotion effects of emotion-label and emotion-laden words with a lexical decision task. The results ...

Considerations for mood and emotion measures in mindfulness-based intervention research.

A large and growing body of work has examined the effects of Mindfulness-Based Interventions (MBI's), such as Mindfulness-Based Stress Reduction and Mindfulness-Based Cognitive Therapy, on emotion-related outcomes, both in mental health settings and general populations. These studies vary widely in the approach to measurement of emotion-related measurements after MBI's. A systematic review of randomized clinical trials of MBIs was conducted with a focus on identifying what emotion-related assays were able t...

The importance of identifying underlying process abnormalities in alexithymia: Implications of the three-process model and a single case study illustration.

We present an in-depth case study of a rare individual (whom we will refer to as "Jane") who reported an inability to experience emotion. Jane completed a range of assessments measuring alexithymia, emotional awareness, and emotion recognition ability. She, along with 22 control participants, also underwent skin conductance (SC) measurement and facial electromyography (EMG) during exposure to affective images, and self reported the valence/arousal of their responses to those images. Jane scored high on alex...


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