Share Email Print
cover

Proceedings Paper

Functional near-infrared spectroscopy for adaptive human-computer interfaces
Author(s): 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
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 12 March 2015
PDF: 9 pages
Proc. SPIE 9319, Optical Tomography and Spectroscopy of Tissue XI, 93190R (12 March 2015); doi: 10.1117/12.2075929
Show Author Affiliations
Beste F. Yuksel, Tufts Univ. (United States)
Evan M. Peck, Tufts Univ. (United States)
Bucknell Univ. (United States)
Daniel Afergan, Tufts Univ. (United States)
Samuel W. Hincks, Tufts Univ. (United States)
Tomoki Shibata, Tufts Univ. (United States)
Jana Kainerstorfer, Tufts Univ. (United States)
Kristen Tgavalekos, Tufts Univ. (United States)
Angelo Sassaroli, Tufts Univ. (United States)
Sergio Fantini, Tufts Univ. (United States)
Robert J. K. Jacob, Tufts Univ. (United States)


Published in SPIE Proceedings Vol. 9319:
Optical Tomography and Spectroscopy of Tissue XI
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

© SPIE. Terms of Use
Back to Top