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

The issue of electroencephalogram (EEG)-based emotion recognition has great academic
and practical significance. Currently, there are numerous research trying to address this …

The quick diagnosis of the novel coronavirus (COVID-19) disease is vital to prevent its
propagation and improve therapeutic outcomes. Computed tomography (CT) is believed to …

In recent years, there has been a growing interest in investigating the influence of biophilic
design on occupants' psychological comfort and well-being in the built environment …

This paper investigates the use of an electroencephalogram (EEG) signal to classify a
subject's stress level while using virtual reality (VR). For this purpose, we designed an …

The automated detection of a human's emotional state by acquiring physiological or non-
physiological cues is referred to as Emotion Recognition. The EEG-based approach is an …

Frequency-domain (FD) features reveal the activated patterns of individual local brain
regions responding to different emotions, whereas brain connectivity (BC) features involve …

Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …

Emotions are complicated psycho-physiological processes that are related to numerous
external and internal changes in the body. They play an essential role in human-human …

The passage of electric signals throughout the human body produces an electromagnetic
field, known as the human biofield, which carries information about a person's psychological …