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 Control of a Virtual Hand Using a Brain-Computer Interface System. Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
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Control of a Virtual Hand Using a Brain-Computer Interface System. Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF

автор Nida A. издательство Книга по Требованию Организация здравоохранения
Cтраниц 104        мягкая обложка       
Аннотация:An Asynchronous BCI was designed using non-cue based data collected from several participants in two separate sessions with different protocols. Mental Task classification was done using Neural Networks, Support Vector Machines and LDA. The performance of the mental task classifier was also evaluated using confusion matrices. Several different features were extracted and evaluated using the DBI and the best of these, the joint time- frequency (JTF) feature, was chosen for detecting onset and classifying mental tasks. A virtual hand was developed graphically in MATLAB and was programmed to move in 6 different directions according to the classified outputs. Different classifiers were tested for onset detection of which Linear Discriminant Analysis (LDA) classifier showed better results. For onset detection, two different methods were employed and compared on the basis of classification performance obtained from confusion matrices, repeatability and ease of application. The classified onset using JTF features and LDA classifier was then used to select the active period data in both sessions, which was then sent to the mental task classifier.
Автор: Nida A.
Издательство: Книга по Требованию
Год:2011
Цена:
1877 руб
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Поиск: Control of a Virtual Hand Using a Brain-Computer Interface System. Finding Suitable Features and Classifiers for an Asynchronous BCI System in the Offline State to Control a Virtual Hand in 6-DOF
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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