In this paper we will describe all necessary parts of Brain-Computer Interface (BCI), such as source of signals, hardware, software, analysis, architectures of complete system. We also will go along various applications of BCI, view some subject fields and their specifics. After preface we will consider the main point of this work – concepts of using BCI in education. Represented direction of B...

A brain-computer interface (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. Thanks to this feature, BCI systems can be employed not only as assistive devices, but also as neurorehabilitation tools in clinical settings. However, several critical issues need to be addressed before using BCI in neurorehabilitation, issues ranging...

A brain-computer interface (BCI) is a communication system that translates brain-activity into commands for a computer or other devices. In other words, a BCI allows users to act on their environment by using only brain-activity, without using peripheral nerves and muscles. In this paper, we present a BCI that achieves high classification accuracy and high bitrates for both disabled and able-bo...

A brain-computer interface (BCI) is a system that allows an individual to communicate with computer or other external device using brain activity alone. Electroencephalography (EEG) common approach for detecting in BCI systems, as it provides non-invasive measure of high temporal resolution. Deep learning methods, such convolutional neural networks (CNNs), have been applied the analysis EEG dat...

Brain-Computer Interface (BCI) research and (future) applications raise important ethical issues that need to be addressed to promote societal acceptance and adequate policies. Here we report on a survey we conducted among 145 BCI researchers at the 4th International BCI conference, which took place in May-June 2010 in Asilomar, California. We assessed respondents' opinions about a number of to...

Due to the non-stationarity of EEG signals, online training and adaptation is essential to EEG based brain-computer interface (BCI) systems. Asynchronous BCI offers more natural human-machine interaction, but it is a great challenge to train and adapt an asynchronous BCI online because the user’s control intention and timing are usually unknown. This paper proposes a novel motor imagery based a...

The brain-computer-interfaces (BCI) can also be referred towards a mindmachine interface that provide non-muscular communication channel in between the computer device and human brain. To measure brain activity, electroencephalography (EEG) has been widely utilized applications of BCI to work system real-time. It analyzed identification probability performed with other methodologies do not opti...

As brain-computer interface for augmentative and alternative communication access (BCI-AAC) development continues to consider avenues translation into the clinical setting, perspectives of clinican experts in AAC should be considered. Therefore, 11 USA-based speech-language pathologists who are completed a semistructured interview along with Likert scale measures assess their on BCI-AAC. The in...

[Purpose] This study sought to determine the effects of brain-computer interface-based functional electrical stimulation (BCI-FES) on brain activation in patients with stroke. [Subjects] The subjects were randomized to in a BCI-FES group (n=5) and a functional electrical stimulation (FES) group (n=5). [Methods] Patients in the BCI-FES group received ankle dorsiflexion training with FES for 30 m...

It was expected to benefit patient with hemiparesis after stroke by extensive arm rehabilitation, to partially regain forearm and hand function. This paper propose a robotic rehabilitation arm in assisting the hemiparetic patient to learn new ways of using and moving their weak arms. In this study, the robotic arm was driven by a somatosensory stimulated brain computer interface (BCI), which is...