MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition

Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
EEG signals   emotion recognition   temporal convolutional neural network   space-aware   continuous regression   discrete classification   multi-anchor fusion  

A Breakthrough in EEG Emotion Recognition: The Proposal and Experimental Analysis of the MASA-TCN Unified Model Academic Background and Research Motivation Human emotion recognition has long been a popular research direction in neuroscience, artificial intelligence, and human-computer interaction. Automatic identification of individual emotional st...

Paving the Way for Social Touch at a Distance: Sonifying Tactile Interactions and Their Underlying Emotions

Information Science, Artificial Intelligence, Medicine, Clinical Psychology, Life Sciences, Bioengineering,
social touch   sonification   emotion recognition   remote interaction   augmented perception  

Academic Background Touch is one of the earliest developed human senses and is crucial for physical and mental well-being. However, with the increasing prevalence of virtual communication, the lack of tactile interaction in remote exchanges may lead to psychological issues such as anxiety and loneliness. Previous studies have shown that touch can e...

LineConvGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

Information Science, Computer Science, Artificial Intelligence,
emotion recognition   graph neural networks   conversation analysis   affective computing   emotion shift   natural language processing   contextual embedding  

A New Approach to Emotion Recognition in Conversations Based on Graph Neural Networks Research Background Emotion recognition (ER) is an important component of human-computer interaction (HCI), aiming to identify human emotional states by analyzing multimodal data such as speech, text, and video. This technology has broad application prospects in f...

Multi-scale Hyperbolic Contrastive Learning for Cross-subject EEG Emotion Recognition

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Clinical Psychology,
EEG   emotion recognition   hyperbolic embedding   contrastive learning   cross-subject  

Cross-Subject EEG Emotion Recognition Research Based on Multi-Scale Hyperbolic Contrastive Learning Academic Background Electroencephalography (EEG), as a physiological signal, plays an important role in the field of affective computing. Compared with traditional non-physiological cues (such as facial expressions or voice), EEG signals have higher ...

Physiological Data for Affective Computing: The Affect-HRI Dataset

Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health, Neurology, Clinical Psychology,
affective computing   human-robot interaction   physiological data   service robots   emotion recognition   socio-technical   interdisciplinary research  

Application of Physiological Data in Human-Robot Interaction with Anthropomorphic Service Robots: Affect-HRI Dataset Background and Significance In interactions between humans and humans, as well as humans and robots, the interacting entity can influence human emotional states. Unlike humans, robots inherently cannot exhibit empathy and thus cannot...