Bulletin of Electrical Engineering and Informatics
Vol 7, No 2: June 2018

Robot Motion Control Using the Emotiv EPOC EEG System

Dewangga, Sandy Akbar ( Sepuluh Nopember Institute of Technology ) , Tjandrasa, Handayani ( Sepuluh Nopember Institute of Technology ) , Herumurti, Darlis ( Sepuluh Nopember Institute of Technology )

Article Info

Publish Date
01 Jun 2018


Brain-computer interfaces have been explored for years with the intent of using human thoughts to control mechanical system. By capturing the transmission of signals directly from the human brain or electroencephalogram (EEG), human thoughts can be made as motion commands to the robot. This paper presents a prototype for an electroencephalogram (EEG) based brain-actuated robot control system using mental commands. In this study, Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) method were combined to establish the best model. Dataset containing features of EEG signals were obtained from the subject non-invasively using Emotiv EPOC headset. The best model was then used by Brain-Computer Interface (BCI) to classify the EEG signals into robot motion commands to control the robot directly. The result of the classification gave the average accuracy of 69.06%.

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Original Source : http://journal.portalgaruda.org/index.php/EEI/article/view/678
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Journal Info






Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global ...