Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction
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.
|Conference||Biomedical Optics, BIOMED 2008|
Fantini, S. (Sergio), Sassaroli, A. (Angelo), Tong, Y. (Yunjie), Hirshfield, L.M. (Leanne M.), Girouard, A, Solovey, E.T. (Erin Treacy), & Jacob, R.J.K. (Robert J.K.). (2008). Real-time assessment of mental workload with near-infrared spectroscopy: Potential for human-computer interaction. In Biomedical Optics, BIOMED 2008.