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Positive Lab: Intentional Visualization of Positive Emotions in Everyday Face-to-Face Communication
Recent developments in biometric data acquisition, artificial intelligence, and the widespread adoption of extended reality (XR) devices have...
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Face emotions: improving emotional skills in individuals with autism
Among the main characteristics of an individual with autism spectrum disorder are repetitive behavioral patterns, deficiencies in social interaction...
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Real time emotions recognition through facial expressions
Human behavior is deeply influenced by emotions. Detection of emotions plays a pivotal role in understanding how individuals respond to various...
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Classification of Patient Emotions in Nonverbal Communication Based on Machine Learning
AbstractThis article is devoted to solving the problem of classifying a patient’s emotions in nonverbal communication based on machine learning. The...
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Avatars improve the quality of online learning: The role of attention and positive emotions
Attention and emotional states are crucial factors that influence the learning quality of learners engaged in online learning. Nevertheless,...
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Mobilenetv3: a deep learning technique for human face expressions identification
One of the most cutting-edge methods for understanding a person’s current psychological state is emotion recognition. Due to the nature of emotional...
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Augmented reality with algorithm animation and their effect on students’ emotions
Algorithm animations are a resource that assists in learning algorithms by visually displaying the behavior of an algorithm at a higher level of...
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Investigating the antecedents of engagement in online learning: do achievement emotions matter?
Student engagement is a multidimensional construct, indicates actual learning experiences and is affected by emotions. Negative and positive...
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The dynamics of Brazilian students’ emotions in digital learning systems
Affect dynamics in digital learning systems (DLS) research investigates how students’ emotions evolve while using these systems. This information can...
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Emotions, metacognition and online learning readiness are powerful predictors of online student engagement: A moderated mediation analysis
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a...
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Neural Network Model for Video-Based Analysis of Student’s Emotions in E-Learning
AbstractIn this paper, we consider a problem of an automatic analysis of the emotional state of students during online classes based on video...
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Emotions as implicit feedback for adapting difficulty in tutoring systems based on reinforcement learning
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students...
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Autism classification and monitoring from predicted categorical and dimensional emotions of video features
Autism in children has been increasing at an alarming rate over the years, and currently 1% of children struggle with this disorder. It can be better...
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Generating personalized facial emotions using emotional EEG signals and conditional generative adversarial networks
Facial expressions are one of the most effective and straightforward ways of conveying our emotions and intentions. Therefore, it is crucial to...
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EmoffMeme: identifying offensive memes by leveraging underlying emotions
Facebook, Twitter, Instagram, and other social media sites allow anonymity and independence. People exert their right to free expression without fear...
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Face manifold: manifold learning for synthetic face generation
The face is a crucial aspect of human communication and identity. Accurately estimating face structure is a fundamental task in computer vision, with...
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Ameliorate grasshopper optimization algorithm based long short term memory classification for face emotion recognition system
Face Emotion Recognition (FER) has become a vital need for human interaction with machines in the virtual world. In virtual classroom, the emotional...
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Compound facial expressions image generation for complex emotions
This work presents the methodology to synthesize the complex facial expressions images from the learned representation without specifying emotion...
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Transporting Deformations of Face Emotions in the Shape Spaces: A Comparison of Different Approaches
Studying the changes of shape is a common concern in many scientific fields. We address here two problems: (1) quantifying the deformation between...
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Human Emotions in AI Explanations
For adapting to humans, explainable AI (XAI) quality can benefit from human expressions beyond verbal expressions. This is particularly true for...