Titlebook: Neural Information Processing. Models and Applications; 17th International C Kok Wai Wong,B. Sumudu U. Mendis,Abdesselam Bouzer Conference

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An Augmented-Reality Based Brain-Computer Interface for Robot Controln be used to control a robotic actuator by thought. We show results of an experimental study which required the users to move several objects placed on a desk by concentrating on a specific object. Competitive communication speed of up to 5.9 correct symbols per minute at a 100% accuracy level could

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Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by med using ensemble averaging approaches. However, in signal processing methods for BCI, raw EEG signals are analyzed..In order to process raw EEG signals, we used independent component analysis(ICA)..Previous paper presented extraction rate of saccade-related EEG signals by five ICA algorithms and e

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Tuning N-gram String Kernel SVMs via Meta Learningwo main factors: SVM cost parameter and kernel parameters. This paper identifies a mechanism to extract meta features from string datasets, and derives a . string kernel SVM optimization method. In the method, a . is trained over computed string meta-features for each dataset from a string dataset p

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Feature Extraction Using Support Vector Machines vector works as a projection vector. To obtain more projection vectors that are orthogonal to the already obtained projection vectors, we train the SVM in the complementary space of the space spanned by the already obtained projection vectors. This is done by modifying the kernel function. We demon

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