Prosthetic Arm Controller Based on Brainwaves Spectrum EEG Sensor
Jana Utama*, Galih Palada
Department of Electrical Engineering, Universitas Komputer Indonesia, Jl. Dipatiukur No. 102-116, Bandung 40132, Indonesia.
Abstract
This research discusses the brain wave system can move a prosthetic arm moving based on brain wave activity. The sensor used to detect EEG brain wave activity is using the mobile mindwave sensor. Movement and brain wave signal detection process is performed in the application program LabVIEW. Plan these robots can perform movement based on brain wave activity, utilizing the flicker and attention. This process must be carried out to control the prosthetic arm. Where there are 2 modes, the first mode for selection of movements with the blink of an eye, and the second mode of attention to move the prosthetic arm. Prosthetic arm can perform movements designed ektension, flexion, supination or pronation and elevation or depression. Prosthetic arm can perform movements based on the command of the subject by utilizing brainwave activity. With a speed response time of 9.54 seconds to do all movements. Besides this excess prosthetic arm, can hold objects with a diameter of 2.2 cm to 6 cm. With the average percentage of success of the 6 experiments conducted at 86.67%. With the results of the breakdown of 80% success percentage for flexion, extension, pronation and elevation movements. And the percentage of success is 100% for movement of supination and depression.
Keywords: Prosthetic Robotic Arm, Brainwaves, EEG Sensor
Topic: Electrical and Computer Engineering