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With the development of wearable technology, it is gradually general to collect EEG signals in portable system with proprietary wireless. However, the introduction of wearable signal collection device always means the descent of EEG quality, sometimes with the invalid of discrimination model in Brain-Computer Interface (BCI). This paper aims at the differences of EEG features from P300-Speller in...
As one of the most important brain-computer interface (BCI) systems, P300-Speller has been extensively studied and is attracting much public attention. According to user's ability of eye movements, two kinds of P300-Speller are existed—overt attention speller and covert attention speller. P300-Speller depends on the difference between event-related potential (ERP) evoked by target stimulus and non-target...
For persons with severe disabilities, a brain-computer interface (BCI) may be a viable means of communication. Lapalacian electroencephalogram (EEG) has been shown to improve classification in EEG recognition. In this work, the effectiveness of signals from tripolar concentric electrodes and disc electrodes were compared for use as a BCI. Two sets of left/right hand motor imagery EEG signals were...
An electroencephalogram (EEG) based brain-computer interface (BCI) is aimed at developing a system that can support communication possibilities for patients with severe neuromuscular disabilities through EEG pattern recognition and classification. Previously many parametric modeling techniques for EEG analysis have been developed and improved upon. For this work we analyzed five parameters on seven...
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