DeepImage BCI 기반의 Deep Neural Networks를 이용한 자동 시각 분류 및 영상 생성 프레임워크

Abstract

Recently, BCI-based research has become active along with advances in machine learning technology, and various BCI-based applications and EEG analysis methods have been developed. In this paper, we propose a framework for analyzing EEG signals based on Deep Neural Networks (DNN) and generating images depicting objects similar to those observed by human. This is a framework for automatically visual classifying using DNNs based on human complicated EEG sequences and generating images similar to human intentions.