Most research on Brain-Computer Interfaces (BCI) focuses on developing ways of expression for disabled people who are not able to communicate through other means. Recently it has been shown that BCI can also be used in games to give users a richer experience and new ways to interact with a computer or game console. This paper describes research conducted to find out what the differences are bet...

Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reported on data collected from stroke patients and clinical studies that reported on the motor ...

Most Brain-Computer Interfaces (BCI) are based on machine learning and behave like black boxes, i.e., they cannot be interpreted. However, designing interpretable BCI would enable to discuss, verify or improve what the BCI has automatically learnt from brain signals, or possibly gain new insights about the brain. In this paper, we present an algorithm to design a fully interpretable BCI. It can...

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...

BACKGROUND Brain-computer interfaces (BCIs) allow people to control devices by translating brain signals into commands. BCIs represent a concrete solution with regard to communication and motor control disabilities of patients with amyotrophic lateral sclerosis (ALS). Most of the BCIs rely on visual interfaces in which patients must move their eyes to achieve efficient BCI control. This fact re...

| Brain–computer interfaces (BCIs) record brain activity and translate the information into useful control signals. They can be used to restore function to people with paralysis by controlling end effectors such as computer cursors and robotic limbs. Communication neural prostheses are BCIs that control user interfaces on computers or mobile devices. Here we demonstrate a communication prosthes...

Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: i...

There are high technological and software demands associated with conducting Brain–Computer Interface (BCI) research. In order to accelerate the development accessibility of BCIs, it is worthwhile focus on open-source community desired tooling. Python, a prominent computer language, has emerged as language choice for many research engineering purposes. this article, BciPy, an open-source, Pytho...

Brain-computer interfaces (BCI) enable non-muscular powerful channel for communicating thanks to direct communication between the user’s brain and a computer. In this article, the presented BCI concerns the P300 speller which enables people to write a text on a computer by estimating P300 evoked potentials. In this work, an unsupervised algorithm is introduced for signal subspace estimation: th...

This paper is a proposal for PhD level research into brain controlled film. I place brain computer interfaces (BCI) in a historic and then an artistic context before exploring instances of research where film and BCI overlap. I then define what has not been covered by research and propose a way to contribute to that gap in knowledge. I explain my interest in the subject, and the methodologies I...