The new commercial-grade Electroencephalography (EEG)-based BrainComputer Interfaces (BCIs) have led to a phenomenal development of applications across health, entertainment and the arts, while an increasing interest in multi-brain interaction has emerged. In the arts, there is already a number of works that involve the interaction of more than one participants with the use of EEG-based BCIs. H...

To cite this Article Omar, Cyrus , Akce, Abdullah , Johnson, Miles , Bretl, Timothy , Ma, Rui , Maclin, Edward , McCormick, Martin and Coleman, Todd P.(2011) 'A Feedback Information-Theoretic Approach to the Design of BrainComputer Interfaces', International Journal of Human-Computer Interaction, 27: 1, 5 — 23 To link to this Article: DOI: 10.1080/10447318.2011.535749 URL: http://dx.doi.org/10....

We developed a novel movement-imagery-based braincomputer interface (BCI) for untrained subjects without employing machine learning techniques. The development of BCI consisted of several steps. First, spline Laplacian analysis was performed. Next, timefrequency analysis was applied to determine the optimal frequency range and latencies of the electroencephalograms (EEGs). Finally, trials were ...

A brain-computer interface (BCI) is a device that enables direct communication between humans and computers by analyzing neural signals and transforming them into digital signals. A new braincomputer interface system based on the gaze on rotating vane-dependent EEG signal is presented. Classification of EEG signals is done in three sessions: 1-when vane rotates fast and slow in an anticlockwise...

This paper describes a method to improve uncued BrainComputer Interfaces based on motor imagery. Our algorithm aims at ltering the continuous classi er output by incorporating prior knowledge about the mental state dynamics. On dataset IVb of BCI competition III, we compare the performances of four di erent methods by combining smoothed probabilities ltered by our algorithm/direct classi er out...

Steady-State Visual Evoked Potentials (SSVEPs) are oscillations of the electroencephalogram (EEG) observed over the occipital area that exhibit a frequency corresponding to a repetitively flashing visual stimulus. SSVEPs have proven to be very consistent signals for rapid EEG-based braincomputer interface (BCI) control. However, due in part to perceptual and neurophysiological aspects, SSVEP si...

Autism Spectrum Disorders (ASD) are characterized by three core behaviours: deficits in social interactions, in communication and repetitive and restricted behaviours. One of the pivotal skills we acquire for social interaction is joint attention, which has been also related to communication skills. The systemizing theory of Autism suggests that these individuals have a preference for computeri...

This paper addresses the problem of optimal feature extraction from a wavelet representation. Our work aims at building features by selecting wavelet coefficients resulting from signal or image decomposition on an adapted wavelet basis. For this purpose, we jointly learn in a kernelized large-margin context the wavelet shape as well as the appropriate scale and translation of the wavelets, henc...

Over 100 articles related to stroke were found in a search through a database dedicated to indexing all literature with original data involving the Malaysian population between years 2000 and 2014. Stroke is emerging as a major public health problem. The development of the National Stroke Registry in the year 2009 aims to coordinate and improve stroke care, as well as to generate more data on v...

Several patients are no longer able to communicate effectively or even interact with the outside world in ways that most of us do it. For instance, severe cases astetraplegic or post-stroke patients are literally 'locked in' their bodies, unable to exert any motor control after a spinal cord injury or a brainstem stroke, requiring alternative methods of communication and control. However, in th...