%0 Journal Article
%T Update of fNIRS as an Input to Brain¨CComputer Interfaces: A Review of Research from the Tufts Human¨CComputer Interaction Laboratory
%J Photonics | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/photonics6030090
%X Over the past decade, the Human¨CComputer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit Brain¨CComputer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS). This paper reviews the work of the lab; we explore how we have used fNIRS to develop BCIs that are based on a variety of human states, including cognitive workload, multitasking, musical learning applications, and preference detection. Our work indicates that fNIRS is a robust tool for the classification of brain-states in real-time, which can provide programmers with useful information to develop interfaces that are more intuitive and beneficial for the user than are currently possible given today¡¯s human-input (e.g., mouse and keyboard). View Full-Tex
%U https://www.mdpi.com/2304-6732/6/3/90