Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

A fascinating challenge in the field of human–robot interaction is the possibility to endow
robots with emotional intelligence in order to make the interaction more intuitive, genuine …

Emotions are an essential part of daily human communication. The emotional states and
dynamics of the brain can be linked by electroencephalography (EEG) signals that can be …

This paper presents a data-driven literature review of human-building interaction (HBI),
which refers to the interaction between occupants and buildings. Through natural language …

Emotional awareness perception is a largely growing field that allows for more natural
interactions between people and machines. Electroencephalography (EEG) has emerged …

Public sub-health has emerged as a pressing concern in densely populated urban areas.
The urban environment, with its innate ability to modulate public emotions, harbors a …

This study proposed an electroencephalogram (EEG)-based real-time emotion recognition
hardware system architecture based on multiphase convolutional neural network (CNN) …

Recent years have witnessed a growing interest in EEG-based wearable classifiers of
emotions, which could enable the real-time monitoring of patients suffering from …

For dimensional emotion recognition, electroencephalography (EEG) signals and
electrooculogram (EOG) signals are often combined to improve the performance of …

Emotions are caused by a human brain reaction to objective events. The purpose of this
study is to investigate emotion identification by machine learning using …