AIMC Topic: Emotions

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Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition.

Scientific reports Feb 1, 2025
Research on emotion recognition is an interesting area because of its wide-ranging applications in education, marketing, and medical fields. This study proposes a multi-branch convolutional neural network model based on cross-attention mechanism (MCN...
Humans Neural Networks, Computer Emotions Electroencephalography Attention Algorithms Convolutional Neural Networks
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Identifying Novel Emotions and Wellbeing of Horses from Videos Through Unsupervised Learning.

Sensors (Basel, Switzerland) Jan 31, 2025
This research applies unsupervised learning on a large original dataset of horses in the wild to identify previously unidentified horse emotions. We construct a novel, high-quality, diverse dataset of 3929 images consisting of five wild horse breeds ...
Horses Animals Unsupervised Machine Learning Emotions Video Recording
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Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective.

Journal of medical Internet research Jan 31, 2025
Continuous monitoring of patients' health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision m...
Humans Artificial Intelligence Monitoring, Physiologic Emotions
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A temporal-spatial feature fusion network for emotion recognition with individual differences reduction.

Neuroscience Jan 30, 2025
PURPOSE: In the context of EEG-based emotion recognition tasks, a conventional strategy involves the extraction of spatial and temporal features, subsequently fused for emotion prediction. However, due to the pronounced individual variability in EEG ...
Recognition, Psychology Electroencephalography Individuality Humans Neural Networks, Computer Adult Female Brain Male Young Adult Emotions
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On the relationship between music students' negative emotions, artificial intelligence readiness, and their engagement.

Acta psychologica Jan 30, 2025
This study explored the relationship between negative emotions, engagement, and artificial intelligence (AI) readiness among 323 music students. The researchers employed SPSS (version 27) and AMOS (version 24) for analysis using the Emotion Beliefs Q...
Artificial Intelligence Female Adult Male Young Adult Students Humans Adolescent Surveys and Questionnaires Emotions Music
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Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study.

JMIR cancer Jan 28, 2025
BACKGROUND: Early-stage breast cancer has the complex challenge of carrying a favorable prognosis with multiple treatment options, including breast-conserving surgery (BCS) or mastectomy. Social media is increasingly used as a source of information a...
Social Media Natural Language Processing Mastectomy, Segmental Mastectomy Emotions Decision Making Female Breast Neoplasms Humans
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EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science.

Behavior research methods Jan 27, 2025
We introduce EmoAtlas, a computational library/framework extracting emotions and syntactic/semantic word associations from texts. EmoAtlas combines interpretable artificial intelligence (AI) for syntactic parsing in 18 languages and psychologically v...
Emotions Natural Language Processing Semantics Artificial Intelligence Language Psycholinguistics Humans
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Gait-to-Gait Emotional Human-Robot Interaction Utilizing Trajectories-Aware and Skeleton-Graph-Aware Spatial-Temporal Transformer.

Sensors (Basel, Switzerland) Jan 25, 2025
The emotional response of robotics is crucial for promoting the socially intelligent level of human-robot interaction (HRI). The development of machine learning has extensively stimulated research on emotional recognition for robots. Our research foc...
Robotics Gait Humans Algorithms Emotions Machine Learning
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Exploring the association between personality traits and colour saturation preference using machine learning.

Acta psychologica Jan 23, 2025
Both personality traits and colour saturation are associated with emotion; however, how colour saturation preference interacts with different traits and whether this interaction is modulated by object-colour relations remains unclear. In this study, ...
Machine Learning Female Young Adult Humans Color Perception Personality Adolescent Adult Choice Behavior Emotions Male
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Model-agnostic meta-learning for EEG-based inter-subject emotion recognition.

Journal of neural engineering Jan 21, 2025
. Developing an efficient and generalizable method for inter-subject emotion recognition from neural signals is an emerging and challenging problem in affective computing. In particular, human subjects usually have heterogeneous neural signal charact...
Recognition, Psychology Emotions Electroencephalography Humans Machine Learning Algorithms
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