2A1-M09 Estimation of human's power using EEG for Brain-Machine Interface(Neurorobotics & Cognitive Robotics)

Abstract

Recently, a lot of non-invasive BMIs (Brain-Machine Interfaces) using EEG (electroencephalography) signals are being developed to control machine. In this paper, we try to estimate human's power from EEGs by PCA (Principal Component Analysis). The concept of the proposed approach using PCA is explained, and the proposed approach is verified by different bio-signals of EMGs (electromyography) and EEGs.