Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …

Electroencephalogram (EEG) based emotion classification reflects the actual and intrinsic
emotional state, resulting in more reliable, natural, and meaningful human-computer …

Affective computing is a rapidly growing multidisciplinary field that encompasses computer
science, engineering, psychology, neuroscience, and other related disciplines. Although the …

Quantitative electroencephalography (QEEG) is a modern type of electroencephalography
(EEG) analysis that involves recording digital EEG signals which are processed …

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 …

Parkinson's disease (PD) is a severe incurable neurological disorder. It is mostly
characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and …

The Clinical Neuroscience of Lateralization gives the first comprehensive transdiagnostic
overview of the evidence for changes in hemispheric asymmetries in different psychiatric …

Stroke is a leading cause for adult disability, which in many cases causes motor deficits.
Despite the developments in motor rehabilitation techniques, recovery of upper limb …

Objectives: Exposure to nature or to green space has positive mental health benefits.
Closing of parks and green spaces during the COVID-19 pandemic has reduced options for …