Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers

Abstract

Event related potentials (ERP) corresponding to a stimulus in electroencephalography (EEG) can be used to detect the intent of a person for brain computer interfaces (BCI). This paradigm is widely utilized to build letter-by-letter text input systems using BCI. Nevertheless using a BCI-typewriter depending only on EEG responses will not be sufficiently… (More)
DOI: 10.1109/IEMBS.2011.6091429

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@article{Orhan2011FusionWL, title={Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers}, author={Umut Orhan and Deniz Erdogmus and Brian Roark and Shalini Purwar and Kenneth E. Hild and Barry S Oken and Hooman Nezamfar and Melanie Fried-Oken}, journal={2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, year={2011}, pages={5774-5777} }