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Hybrid transfer learning strategy for cross-subject EEG emotion recognition
Emotion recognition constitutes a pivotal research topic within affective computing, owing to its potential applications across various domains. Currently, emotion recognition methods based on deep learning frameworks utilizing electroencephalogram (EEG)
Wei Lu +5 more
doaj +1 more source
Emotion recognition abilities and empathy of victims of bullying [PDF]
Objectives: Bullying is a form of systematic abuse by peers with often serious consequences for victims. Few studies have considered the role of emotion recognition abilities and empathic behaviour for different bullying roles.
Hall, Lynne +3 more
core +2 more sources
A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and has significant applications in fields such as healthcare, education, and elder care.
Li-Min Zhang +3 more
doaj +1 more source
Facial expression recognition via ResNet-50
As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
doaj +1 more source
Does comorbid anxiety counteract emotion recognition deficits in conduct disorder? [PDF]
Background: Previous research has reported altered emotion recognition in both conduct disorder (CD) and anxiety disorders (ADs) - but these effects appear to be of different kinds.
Adams, Wendy J +3 more
core +2 more sources
Food-Induced Emotional Resonance Improves Emotion Recognition [PDF]
The effect of food substances on emotional states has been widely investigated, showing, for example, that eating chocolate is able to reduce negative mood. Here, for the first time, we have shown that the consumption of specific food substances is not only able to induce particular emotional states, but more importantly, to facilitate recognition of ...
Elisa Pandolfi +2 more
openaire +4 more sources
Proposing a hybrid approach for emotion classification using audio and video data [PDF]
Emotion recognition has been a research topic in the field of Human-Computer Interaction (HCI) during recent years. Computers have become an inseparable part of human life. Users need human-like interaction to better communicate with computers.
Azimi Khojasteh, Rezvan +2 more
core +1 more source
In one study on vocal emotion recognition using noise-vocoded speech (NVS), the high similarities between modulation spectral features (MSFs) and the results of vocal-emotion-recognition experiments indicated that MSFs contribute to vocal emotion ...
Taiyang Guo +3 more
doaj +1 more source
Facial emotion recognition via stationary wavelet entropy and Biogeography-based optimization [PDF]
INTRODUCTION: As one of the important research directions in the field of computer vision, facial emotion recognition plays an important role in people's daily life.
Xiang Li, Chaosheng Tang, Junding Sun
doaj +1 more source
Context Based Emotion Recognition using EMOTIC Dataset [PDF]
In our everyday lives and social interactions we often try to perceive the emotional states of people. There has been a lot of research in providing machines with a similar capacity of recognizing emotions. From a computer vision perspective, most of the previous efforts have been focusing in analyzing the facial expressions and, in some cases, also ...
KOSTI, RONAK +3 more
openaire +4 more sources

