AIMC Topic: Arousal
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EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation.
Scientific reports
Jul 1, 2025
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-computer interaction and affective computing, enabling scientists to gain insight into the behavior of humans. Classic emotion recognition methods usually...
Evaluating the capacity of large language models to interpret emotions in images.
PloS one
Jun 3, 2025
The integration of artificial intelligence, specifically large language models (LLMs), in emotional stimulus selection and validation offers a promising avenue for enhancing emotion comprehension frameworks. Traditional methods in this domain are oft...
Detecting arousals and sleep from respiratory inductance plethysmography.
Sleep & breathing = Schlaf & Atmung
Apr 11, 2025
PURPOSE: Accurately identifying sleep states (REM, NREM, and Wake) and brief awakenings (arousals) is essential for diagnosing sleep disorders. Polysomnography (PSG) is the gold standard for such assessments but is costly and requires overnight monit...
An Artificial Intelligence Model for Sensing Affective Valence and Arousal from Facial Images.
Sensors (Basel, Switzerland)
Feb 15, 2025
Artificial intelligence (AI) models can sense subjective affective states from facial images. Although recent psychological studies have indicated that dimensional affective states of valence and arousal are systematically associated with facial expr...
Detecting Emotional Arousal and Aggressive Driving Using Neural Networks: A Pilot Study Involving Young Drivers in Duluth.
Sensors (Basel, Switzerland)
Nov 5, 2024
Driving is integral to many people's daily existence, but aggressive driving behavior increases the risk of road traffic collisions. Young drivers are more prone to aggressive driving and danger perception impairments. A driver's physiological state ...
Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.
Biological psychology
Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Aug 13, 2024
BACKGROUND: Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. The Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensi...
Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation.
Neural networks : the official journal of the International Neural Network Society
Aug 8, 2024
Vigilance state is crucial for the effective performance of users in brain-computer interface (BCI) systems. Most vigilance estimation methods rely on a large amount of labeled data to train a satisfactory model for the specific subject, which limits...
State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset.
Scientific reports
Jul 14, 2024
Aiming to apply automatic arousal detection to support sleep laboratories, we evaluated an optimized, state-of-the-art approach using data from daily work in our university hospital sleep laboratory. Therefore, a machine learning algorithm was traine...
Predicting the Arousal and Valence Values of Emotional States Using Learned, Predesigned, and Deep Visual Features.
Sensors (Basel, Switzerland)
Jul 7, 2024
The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into ...
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