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 …

An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

This article reviews the psychophysiological method in game research. Psychophysiological
measurements provide an objective, continuous, real-time, noninvasive, precise and …

Everyone experiences stress in life. Moderate stress can be beneficial to human, however,
excessive stress is harmful to the health. To monitor stress, different methods can be used. In …

Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of
ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its …

Electroencephalography (EEG)-based monitoring the state of the user's brain functioning
and giving her/him the visual/audio/tactile feedback is called neurofeedback technique, and …

Nonlinear dynamics and chaos theory have been used in neurophysiology with the aim to
understand the complex brain activity from electroencephalographic (EEG) signals …

The field of invasive brain-machine interfaces (BMIs) is typically associated with
neuroprosthetic applications aiming to recover loss of motor function. However, BMIs also …

In this paper, we proposed a real-time subject-dependent EEG-based emotion recognition
algorithm and tested it on experiments' databases and the benchmark database DEAP. The …

Emotions are important in human-computer interaction. Emotions could be classified based
on 3-dimensional Valence-Arousal-Dominance model which allows defining any number of …