Hybrid fNIRS-EEG based classification of auditory and visual perception processes

@inproceedings{Putze2014HybridFB,
  title={Hybrid fNIRS-EEG based classification of auditory and visual perception processes},
  author={Felix Putze and Sebastian Hesslinger and Chun-Yu Tse and Yunying Huang and Christian Herff and Cuntai Guan and Tanja Schultz},
  booktitle={Front. Neurosci.},
  year={2014}
}
For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities on which the user is currently processing information. This would enable a system to select complementary output modalities to reduce the user's workload. In this paper, we develop a hybrid Brain-Computer Interface (BCI) which uses Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) to discriminate and detect visual and auditory stimulus processing. We describe the… CONTINUE READING
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Hybrid fNIRS-EEG based classification of auditory and visual perception processes

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