Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Motor Imagery Brain-Computer Interfaces (MI-BCIs) are AI-driven systems that capture brain
activity patterns associated with mental imagination of movement and convert them into …

Abstract In Brain Computer Interface (BCI), achieving a reliable motor‐imagery classification
is a challenging task. The set of discriminative and relevant feature vectors plays a crucial …

This paper will focus on electroencephalogram (EEG) signal analysis with an emphasis on
common feature extraction techniques mentioned in the research literature, as well as a …

Abstract The Brain-Computer interface system provides a communication path among the
brain and computer, and recently, it is the subject of increasing attention. One of the most …

Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a
novel method of stroke rehabilitation. In many BCI-based studies, the activation of the …

Motor imagery (MI) from human brain signals can diagnose or aid specific physical activities
for rehabilitation, recreation, device control, and technology assistance. It is a dynamic state …

Abstract Brain–computer interfaces (BCIs), representing a transformative form of human–
computer interaction, empower users to interact directly with external environments through …

BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …