A Review Paper On Big Data & It’s Processing Using Hadoop
Keywords:
human-computer interaction, EEG signals, reversed correlation algorithm, brain-computer interfaces, deep learning.Abstract
The increased focus in encephalography to improve human-computer interaction (HCI) and build brain-computer interfaces (BCIs) for tracking and management applications necessitates fast information extraction from EEG devices. Due to its ability to train appropriate feature models from mixed data, DL has shown recently significant promise in working to make meaning of EEG data.
References
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H. Dose, et al., “An end-to-end deep learning approach to MI-EEG signal classification for BCIs,” Expert Syst. Appl., vol. 114, pp. 532–542, 2018.
