In a recent study by Sellers et al. (1) a patient in locked-in state after brainstem stroke was able to successfully communicate via electroencephalography (EEG) based brain computer interface (BCI) employing a P300 speller paradigm. BCI uses the brain signal, which can either be the electrical signal (electroencephalography-EEG) (2) or a change in hemodynamic activity [functional magnetic reso...

In this paper, we study soft rough BCI-algebras with respect to MSapproximation spaces. Some new soft rough operations over BCI-algebras are explored. In particular, lower and upper soft rough BCI-algebras with another soft set are investigated. Finally, a kind of decision making method for soft rough BCI-algebras are originally investigated.

Brain Computer Interface (BCI) enable paralyze peoples to interact and control their environment by defining the direct communication between human feelings (brain) and technological aspects (external device). The feature extraction and translation of commands in BCI are the critical tasks, which are the key of BCI system. Using the semantic method will enhance the both of these features. Nowad...

In this position paper we describe part of the Dutch BrainGain research project on Brain Computer Interfacing (BCI) and our planned research in this project. We focus on BCI research for healthy users. In the BrainGain project our task is to look at Human Factors aspects of BCI applications, to look at multimodal interactions that include BCI interactions, and to design games, game environments...

Brain-Computer Interface (BCI) is a way to control computers by using human brain waves. As the technology has improved, BCI devices have become smaller and cheaper, making it possible for more individuals to buy them. This allows BCI to be applied to new fields outside of pure research, including entertainment. We examine whether BCI devices can be used as a new gaming device, approaching it f...

Brain-computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After about 30years of BCI research, the success of control that is achieved by means of a BCI system still greatly varies between subjects. For about 20% of potential users the obtained accuracy does not reach the level criterion, meaning that BC...

OBJECTIVE Today, the brain-computer interface (BCI) community lacks a standard method to evaluate an online BCI's performance. Even the most commonly used metric, the information transfer rate (ITR), is often reported differently, even incorrectly, in many papers, which is not conducive to BCI research. This paper aims to point out many of the existing problems and give some suggestions and met...

Motivation moderately influences brain-computer interface (BCI) performance in healthy subjects when monetary reward is used to manipulate extrinsic motivation. However, the motivation of severely paralyzed patients, who are potentially in need for BCI, could mainly be internal and thus, an intrinsic motivator may be more powerful. Also healthy subjects who participate in BCI studies could be i...

We use a syntactic interpretation of MALL in BCI with ∧, defined in [5], to prove the undecidability of the consequence relations for BCI with ∧ and BCI with ∨, and the NP-completeness of BCI. Similar results are obtained for a variant of the Lambek calculus.