Virtual reality (VR) applications, especially those where the user is untethered to a computer,
are becoming more prevalent as new hardware is developed, computational power and …

Electroencephalographic (EEG) recordings are receiving growing attention in the field of
emotion recognition, since they monitor the brain's first response to an external stimulus …

Introduction: The diagnosis of epilepsy takes a certain process, depending entirely on the
attending physician. However, the human factor may cause erroneous diagnosis in the …

Background Emotion recognition has been studied for decades, but the classification
accuracy needs to be improved. New method In this study, a novel emotional classification …

A new EEG-based methodology is presented for differential diagnosis of the Alzheimer's
disease (AD), Mild Cognitive Impairment (MCI), and healthy subjects employing the discrete …

Objective: With deepened interactions between human and computer, the need for a reliable
and practical system for emotion recognition has become significant. The aim of this study is …

The last decade has seen a strong resurgence of virtual reality (VR) and augmented reality
(AR) applications, ranging from entertainment to neurorehabilitation. Users of VR headsets …

The assessment of physiological signals such as the electroencephalography (EEG) has
become a key point in the research area of emotion detection. This study compares the …

Estimation of human emotions plays an important role in the development of modern brain-
computer interface devices like the Emotiv EPOC+ headset. In this paper, we present an …

Early detection of stress condition is beneficial to prevent long-term mental illness like
depression and anxiety. This paper introduces an accurate identification of stress/calm …