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Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory

Department of Computer Science, Tufts University, Medford, MA 02155, USA
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Photonics 2019, 6(3), 90; https://doi.org/10.3390/photonics6030090
Received: 1 May 2019 / Revised: 9 July 2019 / Accepted: 30 July 2019 / Published: 4 August 2019
(This article belongs to the Special Issue Neurophotonics – Optics for the Brain)
Over the past decade, the Human–Computer Interaction (HCI) Lab at Tufts University has been developing real-time, implicit Brain–Computer 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-Text
Keywords: BCI; fNIRS; HCI; implicit brain computer interfaces; human computer interaction BCI; fNIRS; HCI; implicit brain computer interfaces; human computer interaction
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Bosworth, A.; Russell, M.; Jacob, R.J.K. Update of fNIRS as an Input to Brain–Computer Interfaces: A Review of Research from the Tufts Human–Computer Interaction Laboratory. Photonics 2019, 6, 90.

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