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The paper describes the application of different wavelet analysis together with machine learning algorithm for the recognition of English alphabet from EEG signal. Decision making was executed in two stages. At first important features such as maximum, minimum, delta value, moment, kurtosis, skew, median, mean and standard deviation at different sub-bands are computed using the wavelet functions —...
In this manuscript a simple and improved eye movement features detection process is described. As most of human activities involve eyes, eye movement features detection is very important, particularly in ubiquitous computing and smart human computer interfaces. We all are familiar with Eye movement features detection techniques that involves image or video processing. But in this work we concentrated...
This paper presents a brain-computer interface (BCI) that can help users to input phone numbers or select any command in the graphical user interface. The system is based on the steady-state visual evoked potential (SSVEP). To ensure universal applicability, a system with three fixed positioned electrodes for reducing user variation on system performance has been proposed. Sixteen buttons illuminated...
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