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Adapting the P300-Based Brain-Computer Interface for Gaming: A Review.

, , , , and . IEEE Trans. Comput. Intell. AI Games, 5 (2): 141-149 (2013)

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Sparse Representation and Its Applications in Blind Source Separation., , , , , and . NIPS, page 241-248. MIT Press, (2003)An expectation-based EEG marker for the selection of moving objects with gaze., , , , , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2019)Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals., , , , , and . ICANN (1), volume 3696 of Lecture Notes in Computer Science, page 683-692. Springer, (2005)Gaze based robot control: The communicative approach., , , and . NER, page 751-754. IEEE, (2015)Machine Learning for Gaze-Based Selection: Performance Assessment Without Explicit Labeling., , and . HCI (48), volume 14054 of Lecture Notes in Computer Science, page 311-322. Springer, (2023)Passive Detection of feedback Expectation: towards Fluent Hybrid eye-brain-Computer Interfaces., , , , , , , , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2017)A Greedy Feature Selection Algorithm for Brain-Computer Interface Classification Committees., , , and . BICA, volume 123 of Procedia Computer Science, page 488-493. Elsevier, (2017)Classification of the gaze fixations in the eye-brain-computer interface paradigm with a compact convolutional neural network., , , , and . BICA, volume 145 of Procedia Computer Science, page 293-299. Elsevier, (2018)The Expectation Based Eye-Brain-Computer Interface: An Attempt of Online Test., , , , , , , , and . BCIforReal@IUI, page 39-42. ACM, (2017)Estimating Similarity Between Individual EEG Datasets Using a Convolutional Neural Network., , and . SMC, page 96-101. IEEE, (2018)