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

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 …

Emotion recognition by artificial intelligence (AI) is a challenging task. A wide variety of
research has been done, which demonstrated the utility of audio, imagery, and …

Novel trends in affective computing are based on reliable sources of physiological signals
such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin …

The overall comfort of train passenger is influenced by many environmental factors such as
vibration, noise and pressure. However, the couple effect of these influencing factors causes …

Abstract Convolutional Neural Networks (CNN) have recently made considerable advances
in the field of biomedical signal processing. These methodologies can assist in emotion …

Because of its simplicity and effectiveness, fuzzy K-nearest neighbors (FKNN) is widely used
in literature. The parameters have an essential impact on the performance of FKNN. Hence …

Aging is the inevitable biological process that results in a progressive structural and
functional decline associated with alterations in the resting/task-related brain activity …

Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …

The goal of this study was to investigate subthalamic (STN) neural features of Freezers and
Non-Freezers with Parkinson's disease (PD), while freely walking without freezing of gait …