A REVIEW ON INTERFACING BETWEEN BRAIN & COMPUTER-BRAIN SCIENCE

Electrical & Electronics Engineering

The brain–computer interfaces (BCIs) is a relationship between human brain and machine.it has grown rapidly in the last few decades. BCIs allowing the development of ever faster and more reliable guiding technologies for converting brain activity into control signals for external devices for people with severe disabilities. In recent years, however, the scope of BCIs has been extended from assistive technologies to neuro-tools for human cognitive augmentation for everyone. A brain-computer interface (BCI), sometimes called a neural-control interface (NCI), mind-machine interface (MMI), direct neural interface (DNI), or brain-machine interface (BMI), These include new and exciting activities, such as BCIs based on the brain activity of multiple people. Due to the cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels. Many years of animal experimentation, the first neuro prosthetic devices implanted in humans appeared in the mid-1990s. First, the review monitors a different functional brain activity such as electrical, magnetic or metabolic activity. Second, the review discusses different electrophysiological control signals that determine user intentions, which can be detected in brain activity. Third, the review includes some techniques used in the signal enhancement step to improve the performance. Fourth, the review studies some mathematic algorithms which translate the information in the control signals into commands that operate a computer or other device. Finally, the review provides an overview of various BCI applications that control a range of devices.

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