Advances in EEG-based Brain-Computer Interfaces for Control and Biometry
نویسندگان
چکیده
The most recent advances in acquisition technology and signal processing assert that controlling certain functions by neural interfaces may have a significant impact in the way people operate computers, wheelchairs, prostheses or other devices using only brain signals. This paper exploits the possibility of achieving a communication pathway between the brain and an external device, based on electroencephalogram (EEG) signals, in two challenging scenarios: (1) modulating the EEG signals using motor imagery tasks for brain actuated control of a mobile robot; and (2) person identification using brainwaves. The developed BCI systems differ in the required mental activity and in the type of brain signals used for classification. The essential design principles and signal processing tools of the two EEGbased BCIs are presented. Preliminary results of brain-state estimation during several experimental sessions demonstrate the systems’ performance.
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