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16th International Conference on Advanced Communication Technology
Brain Machine Interface (BMI) has made it possible for the disabled people to communicate with the external machine using their own senses. In the field of BMI, the invasive techniques have been widely used. This paper deals with the study of features of Electroencephalography (EEG), a non invasive technique that has been used for classifying two classes of movements, namely Extension and Flexion. Classification of movements is done on the basis of energy, entropy, skewness, kurtosis and theirdoi:10.1109/icact.2014.6779014 fatcat:g3tmtbjrgzewzc3xl45gz77mh4