Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …

Electrocardiogram (ECG) is a widely used technique for diagnosing cardiovascular disease.
The widespread emergence of smart ECG devices has sparked the demand for intelligent …

Emotions play a pivotal role in human cognition, exerting influence across diverse domains
of individuals' lives. The widespread adoption of artificial intelligence and machine learning …

Since the variety and destructiveness of unexpected natural disasters and health
emergencies, and the weakness of emergency systems around the world, studies on …

This project has developed a geometry learning software that integrates multiple computer
technologies to address the challenges of deep analysis of knowledge points and …

The prevalence of cardiovascular disease (CVD) has surged in recent years, making it the
foremost cause of mortality among humans. The Electrocardiogram (ECG), being one of the …

Walking as a unique biometric tool conveys important information for emotion recognition.
Individuals in different emotional states exhibit distinct walking patterns. For this purpose …

Independent component analysis (ICA) is widely used to separate maternal and fetal
electrocardiograms. However, it has become less effective due to the efforts to reduce the …

In recent years, the recognition of human emotions based on electrocardiogram (ECG)
signals has been considered a novel area of study among researchers. Despite the …