METHODS OF COMMAND RECOGNITION USING SINGLE-CHANNEL EEGS

This research explores command recognition through single-channel EEG by analyzing brainwaves to identify user commands based on concentration patterns. The system presents candidate commands and deduces a 'yes' response when the user focuses on the desired command, contrasting with a 'no' when relaxed. Three recognition methods—Gaussian Mixture Models, Hidden Markov Models, and Recurrent Neural Networks—were tested using EEG data from 2400 samples to evaluate their efficacy.