Improving the efficiency of brain-computer interfaces created on the basis of EEG signals

Al-Duheidahawi MurtadhaAhmedLuti, AL-Nasrawi FarisHazimabdulsada

Brain-computer interfaces (BCI) is a modern technology that has recently made a splash in the field of signal processing. BCI has made a full step of evolution, bringing the computer closer to man than ever. Advances in cognitive neuroscience have helped improve brain imaging techniques, and thus interfaces between machines and the human brain have become a reality. Electroencephalography (EEG), which is the measurement and recording of electrical signals using sensors located on the scalp, can be used for applications such as prosthetics, applications in military operations, games, virtual reality and robotics in signal processing and processing. This article is entirely based on a brain-computer interface for the purpose of actuating a robotic arm using device commands received from EEG signals. This system, unlike any other existing technology, is exclusively non-surgical, cost-effective and is one of the types that can meet various requirements, such as prosthetics. This article suggests a fairly inexpensive implementation of a system that can serve as a reliable alternative to existing prosthetics technologies, such as BIONICS.

Keywords:brain-computer interface, electroencephalogram, support vector machine, error matrix, bionics.