Abstract
We have used machine learning techniques to analyze functional near-infrared spectroscopy (fNIRS) data from the brain of human subjects to classify different levels of mental workload. Preliminary results show potential for fNIRS in human-computer interaction research.
© 2008 Optical Society of America
PDF ArticleMore Like This
A. Sassaroli, F. Zheng, A. Girouard, E. T. Solovey, K. Chauncey, L. H. Hirshfield, E. Peck, R. J. K. Jacob, and S. Fantini
JMA57 Biomedical Optics (BIOMED) 2010
Rand K. Almajidy, Khang S. Le, and Ulrich G. Hofmann
95361H European Conference on Biomedical Optics (ECBO) 2015
Alessandro Torricelli, Davide Contini, Lorenzo Spinelli, Matteo Caffini, Michele Butti, Giuseppe Baselli, Anna Maria Bianchi, Alessandra Bardoni, Sergio Cerniti, and Rinaldo Cubeddu
6629_58 European Conference on Biomedical Optics (ECBO) 2007