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Controlling Prosthetic Limb Movements Using EEG Signals
Ramalingam V.V, Mohan S, , Vani V, Rebecca Jeya Vadhan B.
Published in IGI Global
Pages: 211 - 233
This chapter focuses on replacing natural arms with artificial arms with movement controlled by EEG signals. The selected features were classified using C4.5 decision tree algorithm, best first decision tree algorithm, Naïve Bayes algorithm, Bayes net algorithm, K star algorithm and ripple down rule learner algorithm. The results of statistical and histogram features are discussed and conclusions of the study are presented.
About the journal
JournalAdvances in Computational Intelligence and Robotics Multi-Core Computer Vision and Image Processing for Intelligent Applications
PublisherIGI Global
Open AccessNo