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Functional near-infrared sensing (fNIR) enables real-time, non-invasive monitoring of cognitive activity by measuring the brain's hemodynamic and metabolic responses. We have demonstrated the ability for non-vocal and non-physical communications through detecting directed changes in cognitive tasks. Building upon past research, this paper reports methods that allow the calibration of the fNIR oxygenation signal to better be used in more complex communicative and selection tasks. This work is then discussed in the context of a faster, continuous fNIR brain-computer interface framework.

Exploring Calibration Techniques for Functional Near-Infrared Imaging (fNIR) Controlled Brain-Computer Interfaces