EEG-Based Movement Imagery Classification Using Machine Learning Techniques and Welch’s Power Spectral Density Estimation

Saman Sarraf

Abstract


This project implements an EEG-based movement imagery classification using Welch’s Power Spectral Density estimation which could be used in Brain Computer Interface systems.  This classification which is based on the extracted features from


Keywords


EEG; Machine Learning; Movement Imagery.

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References


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