In this thesis, the usage of fuzzy classification algorithms in brain-computer interfaces (BCI) based on electroencephalography (EEG) is researched. We review the existing literature on BCI, the traditional crisp algorithms often used in BCI for classification, fuzzy classification algorithms and their application in BCI. A simple BCI system is implemented that allows the user to move a cursor ...

The study of Human–Computer Interfaces (HCI) provides a challenge for future interaction research and development. Brain-Computer Interfaces (BCI) is a part or a subset of Human-Computer Interaction (HCI) that involves the communication between the user and the system via brain signals. The electroencephalography (EEG) have developed into one of the most important and widely used quantitative d...

Brain Computer Interfaces (BCI) are a natural extension to Human Computer Interaction (HCI) technologies. BCI is especially useful for people suffering from diseases, such as Amyotrophic Lateral Sclerosis (ALS) which cause motor disabilities in patients. To evaluate the effectiveness of BCI in different paradigms, the need of benchmark BCI datasets is increasing rapidly. Although, such datasets...

As demonstrated in our recent work “Improving the accuracy in person lineups and identification via braincomputer interfaces“ we used brain computer interface technology to distinguish between known and unknown persons faces when presented to a witness as a set of stimuli. The classifiers are built using the BCI2000 framework, a multipurpose research software. In this paper we will extend this ...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Brain-computer interfaces (BCIs) are systems that record brain signals and transfer them into commands to build a direct communication pathway between a human brain and a computer. Decades of development make BCI a promising tool for next generation human-computer interaction (HCI). This paper briefly discusses one of its applications in the HCI field and some key challenges for its widespread ...

introduction: brain computer interface (bci) systems based on movement imagination (mi) are widely used in recent decades. separate feature extraction methods are employed in the mi data sets and classified in virtual reality (vr) environments for real-time applications. methods: this study applied wide variety of features on the recorded data using linear discriminant analysis (lda) classifier...

Brain – computer interface (BCI) systems are typically used to provide disabled users with the functionality normally afforded by conventional interfaces. As BCI progress continues, BCIs may become useful for healthy users in specific situations. This paper briefly reviews existing BCI applications for healthy users and discusses several relevant considerations. Many potential applications are ...

In this paper we describe two studies in which Brain Computer Interfaces (BCI) can be used to achieve and evaluate creativity. The two studies use electroencephalography (EEG) and functional nearinfrared spectroscopy (fNIRS) as instruments for gathering brain data.

The brain–computer interfaces (BCI) are that put the user in communication with an electronic device based on signals originating from brain. In this paper, we describe a proof of concept took place within context BciAi4Sla, multidisciplinary project involving computer scientists, physiologists, biomedical engineers, neurologists, and psychologists aim designing developing BCI system following ...