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Brain Computer Interface Chess Game Platform

Yakup Kutlu *, Gizem Karaca

Abstract

ALS patients who have a neural system-related disease, people without limbs, people who have lost their ability to move because of a particular accident or disease may not be treated but this study is aimed to be foundation for other studies to help them to continue their social lives. BMI systems are being developed as a tool / hardware to help individuals with reduced mobility capabilities. In this study, BBA based chess platform is designed. With this study it is desired both to develop a program to be able to support patients with disabilities so that they can play chess without any difficulty and to help people who do not have any disabilities or people who just want psychological treatment. The system designed in this context consists of three main structures: Chess module, BMI module and Robot arm module. These structures were evaluated separately. Later they will be used as a single system. The first structure consists of the GUI part, the interface that will be used to play chess. In this interface Chess Engine is also used, an interface is designed in which two people can play mutual or play with the Engine. The second structure consists of taking the EEG (Electroencephalography) signals of the people with the help of EMOTIV Epoc + device and separating the received signals by certain operations and classifications. Finally the robot arm module after specifying the desired motion according to the received information the joint angles are going to be calculated by inverse kinematic calculation techniques and it will be activated in a controlled way on the platform. With the platform that is going to be created, it is thought that disabled individuals can play chess with EEG signals without any obstacles and this can be implemented with the help of robot arm. Unlike previous studies, it is thought to examine the effect of EEG signals on performance in both silent and noisy environments. In a social environment like a chess tournament, it can not be expected to people to be quiet so it is desired to create a system that can work in such environments as well.

Keywords

Brain Computer Interface (BCI), Chess, Brain Machine Interface (BMI), Robot Arm, Electroencephalography (EEG).

Volume 3, No 3, Supplement, pp 1-11, 2018



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