There is currently no standard or widely accepted subset of features to effectively classify
different emotions based on electroencephalogram (EEG) signals. While combining all …

This paper reviews the state of the arts and trends of the AI-Based biomedical processing
algorithms and hardware. The algorithms and hardware for different biomedical applications …

Human emotion recognition is a key technique in human–computer interaction. Traditional
emotion recognition algorithms rely on external actions such as facial expression, which …

In this paper, we summarize the human emotion recognition using different set of
electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual …

Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …

In this paper, we describe our investigation of traces of naturally occurring emotions in
electrical brain signals, that can be used to build interfaces that respond to our emotional …

Human emotion recognition plays a vital role in psychology, psycho-physiology and human
machine interface (HMI) design. Electroencephalogram (EEG) reflects the internal emotional …

In recent years, automatic emotion recognition renders human–computer interaction
systems intelligent and friendly. Emotion recognition based on electroencephalogram (EEG) …

Electroencephalography (EEG) is a widely used cerebral activity measuring device for both
clinical and everyday life applications. In addition to denoising and potential classification, a …

This study investigates the relationship between stress levels and rework of engineering
drawing tasks by using physiological signals and surveys. Managing excessive stress at the …