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Emotion dysregulation and right pars orbitalis constitute a neuropsychological pathway to attention deficit hyperactivity disorder
Emotion dysregulation is common in attention deficit hyperactivity disorder (ADHD), which is known to be clinically heterogeneous. However, it...
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DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition
One persistent challenge in deep learning based speech emotion recognition (SER) is the unconscious encoding of emotion-irrelevant factors (e.g.,...
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Emotion Regulation and Emotion Regulation Strategies
The focus of this chapter is emotion regulation. The first half of the chapter helps to deepen theoretical and empirical understanding of the...
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Adaptive neuro-fuzzy based hybrid classification model for emotion recognition from EEG signals
Emotion recognition using physiological signals has gained significant attention in recent years due to its potential applications in various...
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Online emotion regulation training for emerging adults: effects on psychological well-being
The global rates of depression and other emotional problems have significantly increased since the COVID-19 pandemic. Young adults, although not at...
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Etch the Emotional Life: Mother-Child Emotion Socialization from Age 3 to 6 Years
Emotion socialization is conceptualized as a relational process, yet children’s role in socializing parents’ emotions is rarely considered. This...
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Ethical considerations in emotion recognition technologies: a review of the literature
As the global market for emotion recognition technologies (ERT)—which claim to use artificial intelligence to recognize emotions—rapidly expands,...
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Exploring the Interaction Between Preschool Executive Control and Caregiver Emotion Socialization in Predicting Adolescent Weight Trajectories
There is a critical need for research examining how neural vulnerabilities associated with obesity, including lower executive control, interact with...
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On reliability of annotations in contextual emotion imagery
We documented the relabeling process for a subset of a renowned database for emotion-in-context recognition, with the aim of promoting reliability in...
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Enhanced speech emotion recognition using averaged valence arousal dominance map** and deep neural networks
This study delves into advancements in speech emotion recognition (SER) by establishing a novel approach for emotion map** and prediction using the...
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A novel conversational hierarchical attention network for speech emotion recognition in dyadic conversation
Speech is one of the most fundamental mediums for human-to-human interaction, thereby playing a pivotal role in sha** the landscape of...
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Concept-guided multi-level attention network for image emotion recognition
Image emotion recognition aims to predict people’s emotional response toward visual stimuli. Recently, emotional region discovery has become hot...
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A Real-time Multimodal Intelligent Tutoring Emotion Recognition System (MITERS)
Emotion recognition can be used in a wide range of applications. We are interested in the E-learning system because of the several benefits of...
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Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which impacts every aspect of our daily lives. Due to the...
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Using the theory of constructed emotion to inform the study of cognition-emotion interactions
In this article I suggest how theories of emotion construction may inform the study of cognition-emotion interactions. To do so, I adopt the two main...
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Tinnitus—on the interplay between emotion and cognition
Subjective tinnitus (hereafter tinnitus) is often considered and studied as a perceptual phenomenon. Accordingly, various abnormalities in the area...
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Benchmarking a large Twitter dataset for Arabic emotion analysis
The scarcity of available annotated Arabic language emotion datasets limits the effectiveness of emotion detection applications. Techniques such as...
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Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition
Traditional emotion recognition technology often focuses on recognizing human biometrics such as facial expressions or body postures. However,...
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A Model of Connections Between Positive Characteristics: Emotional Intelligence Links Mindfulness to Positive Characteristics with Emotion Elements
This research examined a model positing that mindfulness is a foundation for the development of emotional intelligence and other positive...
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Multimodal dual emotion with fusion of visual sentiment for rumor detection
In recent years, widely spreading rumors have brought devastating impacts on society, making rumor detection a significant challenge. Exsisting...
