نتایج جستجو برای: speller
تعداد نتایج: 324 فیلتر نتایج به سال:
There is a strong tendency towards discriminative approaches in brain–computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorporates prior knowledge about the brain signals. We show that the proposed generative method needs less training data to reach a given lett...
Search phrase correction is the challenging problem of proposing alternative versions of search queries typed into a web search engine. Any number of different approaches can be taken to solve this problem, each having different strengths. Recently, the availability of large datasets that include web corpora have increased the interest in purely data-driven spellers. In this paper, a hybrid app...
In this paper, we address the important problem of channel selection for a P300-based brain computer interface (BCI) speller system in the situation of insufficient training data with labels. An iterative semi-supervised support vector machine (SVM) is proposed for time segment selection as well as classification, in which both labeled training data and unlabeled test data are utilized. The per...
The paper presents a k-means based semi-supervised clustering approach for recognizing and classifying P300 signals for BCI Speller System. P300 signals are proved to be the most suitable Event Related Potential (ERP) signal, used to develop the BCI systems. Due to non-stationary nature of ERP signals, the wavelet transform is the best analysis tool for extracting informative features from P300...
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