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Optical Tomography and Spectroscopy of Tissue XI
We present a brain-computer interface (BCI) that detects, analyzes and responds to user cognitive state in real-time using machine learning classifications of functional near-infrared spectroscopy (fNIRS) data. Our work is aimed at increasing the narrow communication bandwidth between the human and computer by implicitly measuring users' cognitive state without any additional effort on the part of the user. Traditionally, BCIs have been designed to explicitly send signals as the primary input.doi:10.1117/12.2075929 fatcat:57vgzvum3zezldjwxzmr3fpp2y