@article{article_530481, title={ROBOTIC ARM CONTROL USING THE BRAIN WAVES}, journal={The Journal of Cognitive Systems}, volume={2}, pages={51–54}, year={2017}, author={Karakoc, Ahmet and Dogan, Demet and Akinci, T. Cetin}, keywords={EEG sensors,Brain Wave control,Robotic Arm}, abstract={<p class="MsoNormal" style="margin-top:18.0pt;margin-right:1.05pt;margin-bottom: 7.0pt;margin-left:7.1pt;line-height:90%;tab-stops:503.25pt"> <span lang="EN-US" style="font-size:9.0pt;line-height:90%;letter-spacing:-.2pt">Although the human brain has not solved the mystery in full, significant progress has been made as a result of scientific studies on the brain. Through the electrodes connected to the human brain, the EEG signs of our thoughts can give information about the current intellectual and physical state of the human. With the signals from the brain through the EEG biosensors, we can measure the motivation level of our brain. Depending on our state of thought or motivation, changing signs can be used to control a system. This study consists of four stages. Robotic-hand design was made in the first stage. Plastic parts in robotic-hand design are drawn by CAD (Solid) program and produced by 3D printer. In the second stage, the servomotor and the necessary mechanisms are placed into the plastic model and the joints are moved by the motors that pull the lines of the line for the correct movement of the fingers. The third stage is the software phase that will control the movement of the servo-motors in the bionic hand. Software codes have been created for the Arduino card to control the system. In the fourth and final stage, the study was carried out by practicing on how the individual would be motivated by the use of the bionic hand sensor with the brain waves sensor. </span> <b> <span lang="EN-US" style="font-size:9.5pt;line-height:90%;mso-bidi-font-family:Lato;letter-spacing: -.2pt"> <o:p> </o:p> </span> </b> </p>}, number={2}, publisher={İstanbul Technical University}