PDF | Functional near-infrared spectroscopy for adaptive human-computer interfaces. | ID: wd3767684

Functional near-infrared spectroscopy for adaptive human-computer interfaces.

Yuksel, Beste F.

Peck, Evan M.

Afergan, Daniel.

Hincks, Samuel W.

Shibata, Tomoki.

Kainerstorfer, Jana.

Tgavalekos, Kristen.

Sassaroli, Angelo.

Fantini, Sergio (Professor of Biomedical Engineering)

Jacob, Robert J. K.

2015

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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 ... read more

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Beste F. Yuksel, Evan M. Peck, Daniel Afergan, Samuel W. Hincks, Tomoki Shibata, Jana Kainerstorfer, Kristen Tgavalekos, Angelo Sassaroli, Sergio Fantini, Robert J. K. Jacob, "Functional near-infrared spectroscopy for adaptive human-computer interfaces", Proc. SPIE 9319, Optical Tomography and Spectroscopy of Tissue XI, 93190R (12 March 2015); doi: 10.1117/12.2075929; http://dx.doi.org/10.1117/12.2075929.