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

In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Human affects such as emotions, moods, feelings are increasingly being considered as key
parameter to enhance the interaction of human with diverse machines and systems …

Using ECG signals captured by wearable devices for emotion recognition is a feasible
solution. We propose a deep convolutional neural network incorporating attentional …

Understanding psychology is an important task in modern society which helps predict
human behavior and provide feedback accordingly. Monitoring of weak psychological and …

Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …

Facial emotion recognition is a crucial process for many applications and is still unresolved.
Historically, emotional recognition has usually been achieved through artificial intelligence …

Emotion recognition or detection is broadly utilized in patient–doctor interactions for
diseases, such as schizophrenia and autism and the most typical techniques are speech …

The purpose of this study is to explore the measurement of human factors in the workplace
that can provide critical insights into workers' well-being. Human factors refer to physical …

A physiological-based emotion recognition system (ERS) with a unimodal approach such as
an electrocardiogram (ECG) is not as popular compared to a multimodal approach …