Shangkai Gao, Yijun Wang, Xiaorong Gao, Bo Hong, Tsinghua University & University of California San Diego
Over the past several decades, electroencephalogram(EEG)-based brain-computer interfaces (BCIs) have attracted attention from researchers in the field of neuroscience, neural engineering, and clinical rehabilitation. Recently, visual and auditory BCI systems have become popular because of their high communication speeds, little user training, and low user variation. In this paper, we review the current state and future challenges of visual and auditory BCI systems. A new taxonomy based on the multiple access methods used in telecommunication systems is described. Also, the challenges of translating current technology into real-life practices and outline potential avenues to address them are discussed.