AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Results show that autonomic phenotypes are distinguished not only by their average level but by a specific, temporally structured divergence, supporting phenotype-aware affective computing.
Introduction Objective fear recognition is crucial for clinical evaluation and understanding emotional processing. This study uses a multi-modal biophysical approach (EEG, HRV, EDA) within an interactive, semi-immersive environment to investigate coordinated brain-body responses across multidimensional fear scenarios....
A multimodal affective computing model is introduced to objectively assess users’ emotional responses by integrating electrocardiogram signals and posture-based features extracted through computer vision to explore the potential viability of combining immersive environments and multimodal affective computing to explore...
Introduction Understanding how expert performers translate expressive intent into sound remains a central question in the neuroscience of music. We recorded continuous 128-channel EEG from a professional, internationally active concert pianist during a concert-like, uninterrupted performance (~27 min) of six works by B...
Major Depressive Disorder (MDD) remains one of the most prevalent psychiatric conditions worldwide, with a marked increase in incidence and severity following the COVID-19 pandemic. Despite its rising burden, clinical diagnosis continues to rely on subjective assessments, lacking objective and reproducible neurobiologi...
Human performance in safety-critical environments depends on the interaction between mental workload, stress, autonomic regulation, and behavior. This study investigated whether associations between heart rate variability (HRV) and performance varied across physiological activation ranges and operational contexts durin...
In order to solve the problems that existing wearable emotion monitoring methods have in continuously describing the stress assessment process and lack the ability of dynamic emotion regulation and feedback, this study proposes Multimodal Stress-aware Cross-modal Emotion Network (MS-CMENet). A multimodal continuous emo...
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