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Combining Eye Gaze Input With a Brain-Computer Interface for Touchless Human-Computer Interaction.

, , , and . Int. J. Hum. Comput. Interaction, 27 (1): 38-51 (2011)

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Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces., , , and . Brain-Computer Interfaces, Springer, (2010)STRUM: A New Dataset for Neuroergonomics Research., , and . SMC, page 77-82. IEEE, (2018)Evolving Signal Processing for Brain-Computer Interfaces., , , , , and . Proceedings of the IEEE, 100 (Centennial-Issue): 1567-1584 (2012)Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies., , , , , , , , and . GlobalSIP, page 1-4. IEEE, (2013)EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing., , , , , , and . Comp. Int. and Neurosc., (2011)Towards an EEG search engine., , , and . GlobalSIP, page 25-28. IEEE, (2013)The PREP pipeline: standardized preprocessing for large-scale EEG analysis., , , , and . Front. Neuroinform., (2015)Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity., , , and . SMC, page 1070-1075. IEEE, (2018)Finding the Optimal Cross-Subject EEG Data Alignment Method for Analysis and BCI., , , and . SMC, page 1110-1115. IEEE, (2018)EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector., , , and . EMBC, page 5845-5848. IEEE, (2013)