EEG based brain activity monitoring using Artificial Neural Networks

@article{Amarasinghe2014EEGBB,
  title={EEG based brain activity monitoring using Artificial Neural Networks},
  author={Kasun Amarasinghe and Dumidu Wijayasekara and Milos Manic},
  journal={2014 7th International Conference on Human System Interactions (HSI)},
  year={2014},
  pages={61-66}
}
Brain Computer Interfaces (BCI) have gained significant interest over the last decade as viable means of human machine interaction. Although many methods exist to measure brain activity in theory, Electroencephalography (EEG) is the most used method due to the cost efficiency and ease of use. However, thought pattern based control using EEG signals is difficult due two main reasons; 1) EEG signals are highly noisy and contain many outliers, 2) EEG signals are high dimensional. Therefore the… 
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