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Support Vector Machines are widely accepted in the field of pattern recognition because of their superiority in performing supervised classification. It is known that all kernel parameters may be used for classification more-or-less precisely (giving rise to vagueness) and also for the same classification problem, there are a number of kernel parameters which give the best accuracy (giving rise to...
Brain computer interfacing is a new paradigm to provide an alternative path of communication for those, who have lost their sensory, motor and autonomous function limb movement from spinal cord injury or other neuronal disorder. To increase living standard of them, a thought controlled robot or robotic arm can be of great importance for their better communication to external world. This paper proposes...
Hurst exponent is used to evaluate the presence or absence of long-range dependence and its degree in a time series, and hence is known as the long term memory of the time series. Fractal Dimension on the other hand is a measure of data complexity. Hurst Exponent and Fractal Dimension were used as features for nonlinear classification by QDA and SVM with a polynomial kernel of order 3. Since both...
Brain Computer interfaces (BCI) has immense potentials to improve human lifestyle including that of the disabled. BCI has possible applications in the next generation human-computer, human-robot and prosthetic/assistive devices for rehabilitation. The dataset used for this study has been obtained from the BCI competition-II 2003 databank provided by the University of Technology, Graz. After pre-processing...
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