Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything.
Xiao ZhangDongrui WuLieyun DingHanbin LuoChin-Teng LinTzyy-Ping JungPublished in: CoRR (2020)
Keyphrases
- motor imagery
- brain computer interface
- eeg signals
- event related
- noise level
- input data
- increase in computational complexity
- eeg data
- blind source separation
- signal processing
- sensor noise
- random noise
- additive noise
- noise model
- noisy environments
- low signal to noise ratio
- healthy subjects
- input variables
- noisy data
- missing data
- noise sensitivity
- event related potentials
- image noise
- rbf network
- artificial neural networks