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Review

8 Citations

5,748 Views

16 Pages

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

Alexa Bosworth,
Matthew Russell and
Robert J. K. Jacob

Photonics2019, 6(3), 90;https://doi.org/10.3390/photonics6030090

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4 August 2019

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 o...

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Article

3 Citations

3,157 Views

20 Pages

Human–Computer Interaction Multi-Task Modeling Based on Implicit Intent EEG Decoding

Xiu Miao and
Wenjun Hou

Appl. Sci.2024, 14(1), 368;https://doi.org/10.3390/app14010368

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30 December 2023

In the short term, a fully autonomous level of machine intelligence cannot be achieved. Humans are still an important part of HCI systems, and intelligent systems should be able to “feel” and “predict” human intentions in orde...

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