Semi Autonomous Hybrid Brain Machine Interface

Abstract

This paper discusses about a brain controlled robot based on Brain-computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a mobile robot can be controlled. The intention of this paper is to develop a robot that can assist the disabled people in their daily life to do some work independent on others. Brain signals will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Matlab platform. Then the control commands will be transmitted to the robotic ARM module to process. With this entire system, we can pick an object and place it accordingly through the configured brain signals.