FNIRS User Identification

This paper discusses the potential of functional near-infrared spectroscopy (fNIRS) brain-computer interfaces (BCIs) to identify an individual using only her brain data. fNIRS is a lightweight, portable, non-invasive functional neuroimaging tool that uses light to capture hemodynamic responses in the brain. We show that among 30 subjects, it is possible to determine the subject from whom a segment of the fNIRS data originated with 63% accuracy. Random chance is 3.3% for 30 subjects. Additionally, we explore the effect of the fNIRS brain data window size used during feature construction, on the classification accuracy.