Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …

Emotions are fundamental for human beings and play an important role in human cognition.
Emotion is commonly associated with logical decision making, perception, human …

Emotions play a critical role in our daily lives, so the understanding and recognition of
emotional responses is crucial for human research. Affective computing research has mostly …

Electrodermal activity (EDA) is indicative of psychological processes related to human
cognition and emotions. Previous research has studied many methods for extracting EDA …

Emotions are closely related to human behavior, family, and society. Changes in emotions
can cause differences in electroencephalography (EEG) signals, which show different …

This work develops a thorough review of bioimpedance systems for healthcare applications.
The basis and fundamentals of bioimpedance measurements are described covering issues …

People express emotions through different modalities. Utilization of both verbal and
nonverbal communication channels allows to create a system in which the emotional state is …

Emotion recognition still poses a challenge lying at the core of the rapidly growing area of
affective computing and is crucial for establishing a successful human–computer interaction …

One of the main objectives of Active and Assisted Living (AAL) environments is to ensure
that elderly and/or disabled people perform/live well in their immediate environments; this …

In this work, an attempt has been made to classify emotional states using Electrodermal
Activity (EDA) signals and Convolutional Neural Network (CNN) learned features. The EDA …