Brain-Computer Interface is an interface which enables the human to command device using brain
signals. The task which the human is intended to perform can be classified using the brain signals.
In this paper, we have presented a comparative analysis of methods using which the task can be
effectively classified. A brief comparison between the various machine learning algorithms used
for the extraction of feature and classification purposes is given in this paper. There are so many
tasks that a human brain can perform and this paper focuses on the mental tasks and motor imagery
tasks for brain signal classification.
Keywords: Brain-computer interface (BCI), classification, EEG, feature extraction, mental task,
motor imagery task.
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