BMI-based Humanoid Robot Control

Exploratory project in which a non-invasive brain machine interface device was used to detect EEG signal patterns and translate them into robot navigation commands. Preliminary EEG signal pattern training requires the user to concentrate on a specific task for certain amount of time (i.e. 10 sec) while EEG signals are recorded. Discrete Fourier Transform is obtained form wave signals and particular samplings are used to train a support vector machine that is later used for pattern classification.

 

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BMI-based Humanoid Robot Control