Brain-computer interface for morse code interpretation through brain signals
BCI system for Morse code
Abstract
The necessity to offer a much effective communication way to handicap people leads us to do the do work where a Morse code blink-decoder is presented. To achieve the desired goal, brain signals were obtained using the brainwear EMOTIV Insight. The used channels are AF3 and AF4 since those are the channels where the wave perturbation is maximum due to blinks. Afterwards, the channels are filtered with a finite impulse response (FIR) filter, which is designed using different window functions such as classic functions as well as based on the Atomic Functions (AF) theory, with the objective to make a comparison of the results using different window functions. The results show a better classification of the blink type due to a better frequency response of the FIR filter using the AF as window.
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References
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