Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly
on clinical applications, notably to enable severely disabled people to interact with the …

This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in
immersive virtual reality. The aim of the proposed training method is to increase …

This study aimed to develop an intuitive gait-related motor imagery (MI)-based hybrid brain-
computer interface (BCI) controller for a lower-limb exoskeleton and investigate the …

The demand for public datasets has increased as data-driven methodologies have been
introduced in the field of brain-computer interfaces (BCIs). Indeed, many BCI datasets are …

Objective. Motor imagery (MI) brain–computer interfaces (BCIs) based on
electroencephalogram (EEG) have been developed primarily for stroke rehabilitation …

Long-term electroencephalography (EEG) recordings have primarily been used to study
resting-state fluctuations. These recordings provide valuable insights into various …

This study evaluates an innovative control approach to assistive robotics by integrating brain–
computer interface (BCI) technology and eye tracking into a shared control system for a …

Map** drivers' thoughts directly to mobility system control would make driving more
intuitive as if the mobility system is an extension of their own body. Such a system would …

Abstract Common Spatial Pattern (CSP) is the most popular method in motor imagery (MI)
based Brain–Computer Interfaces (BCI) for extracting features from electroencephalogram …