Functional near infrared spectroscopy (fNIRS) is finding growing utility as a neuroimaging sensor for brain computer interfaces (BCI) because it is non-invasive and well complements the neurosensing provided by electroencephalography. We briefly review the history of fNIRS and the use of historically standard features of fNIRS for BCI. We then present signal processing advances that are standard in fNIRS but not in the application of fNIRS to BCI and show the improvements it affords in classification accuracy. Finally, we cover our recent advances in a wearable whole head high density fNIRS system and how it can further improve BCI accuracy.
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Boas et al. (2024) studied this question.
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