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- W4386870670 abstract "With the pace of high cutting-edge technical solutions, the ease of availability and affordability are the parameters which affect the accessibility of it to the general mass. This motivated us for a handy real-time analysis of human cognitive state using smartphones. In a technology-driven society, it is very important to measure and predict meaningful brain signals in real time. As electroencephalograph (EEG) represents a solution that has high temporal resolution, it becomes a useful tool for society. One such application is to understand that attention is useful for learning and relaxation is useful for health. This research paper provides a framework that gives insight into mobile-based real-time mental state visualization along with levels of attention and relaxation. The framework is built with an Indian-made, eight-channel EEG device (neuphony). This is the first study to show a brain-mobile interface for omnipresent, prevalent computing. We eventually construct a sophisticated mobile-based EEG monitoring system by combining signal processing algorithm with an Android mobile application and we verify its effectiveness using real-time EEG data." @default.
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- W4386870670 date "2023-01-01" @default.
- W4386870670 modified "2023-09-27" @default.
- W4386870670 title "EEG-Based Real-Time Prediction of Cognitive State on Smartphone" @default.
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- W4386870670 doi "https://doi.org/10.1007/978-981-99-3963-3_12" @default.
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