نتایج جستجو برای: brain computer interface bci
تعداد نتایج: 1187038 فیلتر نتایج به سال:
This paper is aimed to introduce IDIAP Brain Computer Interface (IBCI) research that successfully applied Ambience Intelligence (AmI) principles in designing intelligent brainmachine interactions. We proceed through IBCI applications describing how machines can decode and react to the human mental commands, cognitive and emotive states. We show how effective human-machine interaction for brain ...
In a Mental Imagery Brain-Computer Interface the user has to perform specific mental task that generates electroencephalography (EEG) components, which can be translated in commands control BCI system. The development of high-performance MI-BCI requires long training, lasting several weeks or months, order improve ability manage his/her tasks. This works aims present design combining imaginary ...
Although notable progress has been made in the study of Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI), several factors that limit practical applications BCIs still exist. One these is importability stimulator. In this study, Augmented Reality (AR) technology was introduced to present visual stimuli SSVEP-BCI, while robot grasping experiment designed verify ap...
The project reported in this abstract aims to confirm whether a tactile stimulator ”touch– sense glove” is effective for a novel brain-computer interface (BCI) and whether it would improve BCI classification accuracies. We also report that tactile stimuli delivered to fingers could be utilized to evoke event related potential (ERP) responses with an attention modulation. The designed new stimul...
The main purpose of electroencephalography (EEG)-based brain-computer interface (BCI) technology is to provide an alternative channel to support communication and control when motor pathways are interrupted. Despite the considerable amount of research focused on the improvement of EEG signal detection and translation into output commands, little is known about how learning to operate a BCI devi...
The Brain Computer Interface (BCI) systems enable unblessed people to operate devices and applications through their mental activities. It is believed that the BCI technology should be a blessing for the unblessed persons who may be suffering from severe neuromuscular disorders. So in this paper, we present a review on the progress of research efforts and then we analyze the challenges in BCI r...
We present results of a classification improvement approach for a code–modulated visual evoked potential (cVEP) based brain– computer interface (BCI) paradigm using four high–frequency flashing stimuli. Previously published research reports presented successful BCI applications of canonical correlation analysis (CCA) to steady–state visual evoked potential (SSVEP) BCIs. Our team already previou...
Unsupervised manifold learning for dimensionality reduction has drawn much attention in recent years. This paper applies two manifold learning methods for the first time to feature dimensionality reduction in brain-computer interface (BCI) design, and compares them with principal component analysis (PCA) and supervised PCA that is mathematically equivalent to the common spatial patterns (CSP) m...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید