CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface

Each person has his or her own distinct event-related potential (ERP) signals. Thus, traditional brain-computer interface (BCI) systems require a calibration process in which the subject's data are extracted in order to train machine-learning classifiers. Despite past efforts to eliminate this proce...

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Bibliografiska uppgifter

Huvudupphov:	Jongmin Lee, Kyungho Won, Moonyoung Kwon, Sung Chan Jun, Minkyu Ahn
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2020-01-01
Serie:	IEEE Access
Ämnen:	Brain-computer interface machine learning P300 speller zero-training
Länkar:	https://ieeexplore.ieee.org/document/9068248/
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