DESIGN AND IMPLEMENTATION OF A WIRELESS BRAIN-COMPUTER INTERFACE SYSTEM FOR ASSISTIVE TECHNOLOGY APPLICATIONS

The brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device, such as a computer. It has been the subject of extensive research in recent years and has shown great potential for use in assistive technology applications. The goal of this paper is to discuss the design and implementation of a wireless BCI system for assistive technology applications. The wireless BCI system was able to successfully control the movement of the robotic arm using the signals generated by the signal processing and feature extraction software. The system was able to distinguish between different mental states, such as imagining moving the left or right hand, and generate control signals that could be used to move the robotic arm in the corresponding direction