Construction of EEG-based Control System of Electric Wheelchair using Wavelt Analysis and CNN

Abstract

In recent years, research on the brain-machine interface (BMI) has been activated. The purpose of this study is to construct EEG-based control system of electric wheelchair which consists of measuring and analyzing brain waves, classifying thoughts using deep learning technique, and operating the electric wheelchair in response to the classification results. By integrating the EEG classification system that combines wavelet analysis and CNN with the drive system of the electric wheelchair, we construct EEG-based control system of electric wheelchair.