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This paper presents a BCI (brain-computer interface) system called, "fast Phonics-to-Chinese-Character system", for individuals to write Chinese Characters using his or her brain waves. This research proposes a novel timing coding method to collocate the order of stimuli presentation. Previously, we had developed a Phonics-to-Chinese-Character system that used both the components of the...
Brain-Computer Interface (BCI) systems allow user to operate devices without muscular activation and experimental results indicate that they can induce activity-dependent plasticity. A BCI system has two key features: exploitation of brain signal changes induced by the cognitive task assigned to the user and mutual learning. With respect to the first feature, BCI users can learn to control and hence...
Most present-day visual brain computer interfaces (BCIs) suffer from the fact that they rely on eye movements, are slow-paced, or feature a small vocabulary. As a potential remedy, we explored a novel BCI paradigm consisting of a central rapid serial visual presentation (RSVP) of the stimuli. It has a large vocabulary and realizes a BCI system based on covert non-spatial selective visual attention...
Event-related potentials (ERPs) are one of the most informative and dynamic methods of monitoring cognitive processes, which are widely used in clinical research to deal a variety of psychiatric and neurological disorders as attention-deficit/hyperactivity disorder (ADHD). This work proposes an extraction and selection methodology for discriminating between normal and pathological patients with ADHD...
Brain-computer interfaces (BCIs) open a new valuable communication channel for people with severe neurological or motor degenerative diseases, such as ALS patients. On the other hand, the ability to teleoperate robots in a remote scenario provides a physical entity embodied in a real environment ready to perceive, explore, and interact. The combination of both functionalities provides a system with...
Single trial ERP detection is critical for stimulus-synchronous brain computer interfaces. This paper presents a comparison of three different algorithmic schemes for single-trial ERP detection: SVM (baseline), hierarchical SVM-(naive) Bayes, selected temporal windows-based SVM-(naive) Bayes. An ERP-based image search system, including experimental setup, data collection, pre-processing, and three...
This paper investigates the relations between ERP features and visual sustained attention. Continuous Performance Test is used for determining sustained attention level. Fifty eight features were extracted from the 19-channel recorded signals. Twenty four subjects were divided into three classes according to their attention level. LDA classifier is used and high accuracy (94%, 88% and 93% for each...
Brain-computer interfaces (BCIs) based on steady-state visual evoked potentials (SSVEPs) are systems in which virtual or physical objects are tagged with flicker of different frequencies. When a user focuses on one of the objects its flicker frequency becomes visible in the electroencephalogram (EEG) and so the object on which the user focuses can be determined from brain activity alone. A significant...
A brain-computer interface (BCI) provides the possibility to translate brain neural activity patterns into control commands for computers without user's movement. The brain activity is most commonly measured non-invasively via standard electroencephalographic (EEG) electrodes placed on the surface of the scalp. We propose the evaluation of the Bremen-BCI system based on steady-state visual evoked...
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