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Abstract: Gait emotion recognition has played a significant role in the development of intelligent systems. Most existing methods primarily focus on capturing the spatial-local relationships of gait ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

This repository contains the code accompanying the paper "Towards Unified Music Emotion Recognition across Dimensional and Categorical Models" by Dr. Jaeyong Kang and Prof. Dorien Herremans. We ...

For those enquiring about how to extract visual and audio features, please check this out: https://github.com/soujanyaporia/MUStARD 10/03/2024 If you are interested ...

Introduction Treatments such as eye movement desensitisation and reprocessing and (narrative) exposure therapies are commonly used in psychological trauma. In everyday practice, art therapy is also ...

EEG signals can non-invasively monitor the brain activities and have been widely used in brain-computer interfaces (BCI). One of the research areas is to recognize emotions objectively through EEG. In ...

Abstract: Electroencephalograph (EEG) emotion recognition plays an important role in the brain-computer interface (BCI) field. However, most of recent methods adopted shallow graph neural networks ...