![]() ![]() Item Type:ĮEG Emotiv epoch sensor Mobile robot control The second facial expressions method have overall respond time 6.12 and 9.53 s faster than thinking with visual, and thinking without help respectively. In these two methods have dominant signals on the frontal lobe. The second facial expression configuration has overall response time 1.60175 s faster than the first facial expressions configuration. ![]() Final results of the system are the second facial expressions configuration as the best facial expressions method with success rate 88.33 %. In the first set, there are two configurations thinking with facial expression help as command of the mobile robot. Third, thinking mentally without any help. First, thinking with doing facial expressions. The training methods of the system composed of three sets of thinking mode. forward, backward, turn left, and turn right). The output of the Arduino is a movement command (ie. The commands will be interfaced inside Mind Your OSCs software and processing software which processed inside an Arduino Controller. The study used Emotiv Control Panel software for EEG command identification. The study was using an EEG Emotiv Epoc+ sensor to recognize brain activity for controlling a mobile robots movement. ![]()
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March 2023
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