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A brain-computer interface (BCI) based on steady state visual evoked potentials (SSVEPs) is one of the most practical BCI, because of high recognition accuracies and short time training. To increase the number of commands of SSVEP-based BCI, recently a frequency and phase mixed-coded SSVEP BCI has been proposed. However, in order to detect frequency and phase of SSVEPs accurately, it is required to...
We develop a brain-machine interface for the hand-motor rehabilitation of stroke patients. The interface provides both visual and proprioceptive feedback to the user based upon the successful generation of cortical motor commands. We discuss the details of the proposed system and provide a summary of the preliminary experiment. The experiment investigates the importance of simultaneous visual and...
This paper presents an overview of the studies that have been conducted with the purpose of understanding the use of brain signals as input to a speech recogniser. The studies have been categorised based on the type of the technology used with a summary of the methodologies used and achieved results. In addition, the paper gives an insight into some studies that examined the effect of the chosen stimuli...
The xDAWN algorithm is well-known as a method for designing spatial filters to improve signal-to-noise ratio and to reduce the dimension of observed EEG signals. This paper proposes a method for spatially smoothing xDAWN spatial filters to give a robustness against small sample problem. The proposed method gives a subspace constraint to the parameter space of the spatial filters. This subspace is...
To clarify whether grammatical category or semantic meaning is the underlying determinant of noun-verb dissociation in the brain topography, this study recorded 128-channel electroencephalographic (EEG) signals from the scalps of 22 subjects when they listened to auditory (i) unambiguous nouns (UN), (ii) unambiguous verbs (UV), (iv) noun-biased ambiguous words (AN) and (v) verb-biased ambiguous words...
This paper proposed an assistive device based BCI system to serve persons with severe disability for communication enhancement. Using NeuroSky EEG headset wireless system was employed to acquire the EEG signal and send to a control unit for command generating. Moreover, the proposed system has to concern a beginning user. Neurofeedback training was utilized to train user to control the attention....
In this study we propose a novel stimulus-driven brain-computer interface (BCI) paradigm, which generates control commands based on classification of somatosensory modality P300 responses. Six spatial vibrotactile stimulus patterns are applied to entire back and limbs of a user. The aim of the current project is to validate an effectiveness of the vibrotactile stimulus patterns for BCI purposes and...
Recently, brain-computer interfaces (BCIs) attract much attention as novel human interfaces such as exoskeleton, powered-wheelchair, and P300-based speller. One of the EEG feature called event-related (de)synchronization (ERD/S) is used for the BCI, because it can be caused by motor execution (ME), motor imagery (MI), or motor observation (MO). ERD is a relative power decrease during ME/MI/MO, whereas...
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