A Self-Paced and Calibration-Less SSVEP-Based Brain-Computer Interface Speller

A Self-Paced and Calibration-Less SSVEP-Based Brain-Computer Interface Speller

A brain-computer interface (BCI) is a communication system based on neural activity. Its goal is to provide a new output channel for the brain that requires voluntary control. We propose a new self-paced BCI speller based on the detection of steady-state visual evoked potential (SSVEP). The speller...

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Bibliographic Details
Published in:IEEE transactions on neural systems and rehabilitation engineering 2010-04, Vol.18 (2), p.127-133
Main Author: Cecotti, Hubert
Format: Article
Language:eng
Subjects:
Adult
Algorithms
Brain - physiology
Brain-computer interface (BCI)
Communication
Communication system control
Control systems
Decision Trees
electro encephalogram (EEG)
Electrodes
Electroencephalography
Electroencephalography - instrumentation
Error correction
Evoked Potentials, Visual - physiology
Eye Movements - physiology
Female
Humans
Laboratories
Male
Photic Stimulation - adverse effects
Psychomotor Performance - physiology
Signal processing
Signal Processing, Computer-Assisted
speller
Steady-state
steady-state visual evoked potential (SSVEP)
Testing
Timing
User-Computer Interface
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Summary:A brain-computer interface (BCI) is a communication system based on neural activity. Its goal is to provide a new output channel for the brain that requires voluntary control. We propose a new self-paced BCI speller based on the detection of steady-state visual evoked potential (SSVEP). The speller does not require any training from the user or from the signal processing part. The system is ready once the subject is prepared. The speller introduces a selection based on a decision tree and an undo command for correcting eventual errors. It was tested on eight healthy subjects who had no prior experience with the application. The average accuracy and information transfer rate are 92.25% and 37.62 bits per minute, which is translated in the speller with an average speed of 5.51 letters per minute.
ISSN:1534-4320
1558-0210