Emotion classification using physiological signals is a promising approach that is likely to
become the most prevalent method. Bio-signals such as those derived from …

Sensors used to diagnose, monitor or treat diseases in the medical domain are known as
medical sensors. There are several types of medical sensors that can be utilized for various …

This project involves the assessment of ECG feature extraction toolboxes for emotion
recognition system. The objective of this work is to compare the performance between TEAP …

When the visually impaired walk on the blind road, once they encounter obstacles to block
the road, it will bring panic and even safety risks to the visually impaired. To solve this …

The field of user quality of experience (QoE) in multimedia communications has become
increasingly important due to the widespread use of digital technology in our everyday lives …

In emotion recognition tasks, electroencephalography (EEG) has gained significant favor
among researchers as a powerful biological signal tool. However, existing studies often fail …

Purpose The expression of emotions is essential in human relationships. However, the
aging process associated with some pathologies such as Alzheimer's Disease and other …

Abstract" Stress overload”(SO) represents an imbalance where psychosocial, work,
environmental, or healthrelated burdens exceed an individual's adaptive capacity …

In recent years, research on emotion classification based on physiological signals has
actively attracted scholars' attention worldwide. Several studies and experiments have been …

The human body as an entire structure of a person contains physiological and physical
reactions that connect with emotions. Emotions can be thought of as psychological states …