Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard
نویسندگان
چکیده
منابع مشابه
Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard
Brain-Computer Interfaces (BCIs) transfer human brain activities into computer commands and enable a communication channel without requiring movement. Among other BCI approaches, steady-state visual evoked potential (SSVEP)-based BCIs have the potential to become accurate, assistive technologies for persons with severe disabilities. Those systems require customization of different kinds of para...
متن کاملDesign of a novel covert SSVEP-based BCI
Brain computer interfaces (BCI) employing steady-state visually evoked potential (SSVEP) modulations have been investigated increasingly in the last years because of their high signalto-noise ratio and information transfer rate. However, independent SSVEP BCI based on covert attention show a drop in robustness which makes it difficult to use on patients with impaired or nonexistent ocular motor...
متن کاملMulti-target SSVEP-based BCI using Multichannel SSVEP Detection
Spatial filtering method and fast Fourier transform (FFT) based spectrum estimation method are applied to reveal the presence of steady state visual evoked potential (SSVEP) in multiple-electrodes electroencephalogram (EEG) signals used in Brain-Computer Interface (BCI) system. The SSVEP responses are elicited by visual stimuli in the form of flickering light emitting diode (LED) array and comp...
متن کاملLASSO based stimulus frequency recognition model for SSVEP BCIs
Steady-state visual evoked potential (SSVEP) has been increasingly used for the study of brain–computer interface (BCI). How to recognize SSVEP with shorter time and lower error rate is one of the key points to develop a more efficient SSVEP-based BCI. To achieve this goal, we make use of the sparsity constraint of the least absolute shrinkage and selection operator (LASSO) for the extraction o...
متن کاملDisplay Optimization in SSVEP BCIs
INTRODUCTION Brain – computer interface (BCI) systems allow people to send information without moving [1]. Some BCIs rely on the Steady State Visual Evoked Potential (SSVEP), a type of EEG activity that occurs when subjects focus attention on a stimulus that oscillates between about 5-40 Hz. Thus, the efficacy of an SSVEP BCI depends on how quickly and effectively it can distinguish SSVEP activ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2015
ISSN: 1662-453X
DOI: 10.3389/fnins.2015.00474