Functional near-infrared spectroscopy for adaptive human-computer interfaces

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

doi:10.1117/12.2075929

12 March 2015 Functional near-infrared spectroscopy for adaptive human-computer interfaces

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

Author Affiliations +

Proceedings Volume 9319, Optical Tomography and Spectroscopy of Tissue XI; 93190R (2015) https://doi.org/10.1117/12.2075929
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

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. However, such systems are usually designed for people with severe motor disabilities and are too slow and inaccurate for the general population. In this paper, we demonstrate with previous work¹ that a BCI that implicitly measures cognitive workload can improve user performance and awareness compared to a control condition by adapting to user cognitive state in real-time. We also discuss some of the other applications we have used in this field to measure and respond to cognitive states such as cognitive workload, multitasking, and user preference.

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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, and 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); https://doi.org/10.1117/12.2075929

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