Opening/Closing of the eyes identified fast through brain signals

What is it about?

State-of-the-art machine learning analytics require extensive train and prediction times which limits their potential application in real life. However, many problems do not require going through decision making using machine learning algorithms upfront. In this article, we consider random nature of opening/closing eyes and monitor brain signals for a potential change. Then, utilize machine learning algorithms when a potential change is alarmed. The proposed process detects eye state change in less than two seconds from its happening.

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Why is it important?

Fast and accurate decision making is very important when using artificial intelligence systems. The proposed analytics are fast and highly accurate.

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