国内外脑机交互技术研究现状及趋势

Research Status and Trend of Brain Computer Interaction Technology at Home and Abroad

脑机交互的关键技术是脑电波(EEG)信号的解码,而人的大脑信号具有随时间改变的非稳态本质,探索EEG相对稳定的优秀特征表达非常关键。基于此,通过小波包分解、自适应带通滤波共空间模式、时-频-空多模态分析等人工智能等算法,提高特征表达鲁棒性。

The key technology of brain-computer interaction is EEG signals decoding,and human brain signals have an unsteady nature that changes with time,so it is very important to explore the relatively stable excellent feature representation of EEG.By means of wavelet packet decomposition,adaptive bandpass filter common spatial pattern,time-frequency-space multimode analysis and other artificial intelligence algorithms,the robustness of feature representation is improved.