Giles Blaney

schoolTufts Universitybar_chart#10198 Global Rank

Total Papers

HCI Rank

#10198

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Recent Publications

Empower Real-World BCIs with NIRS-X: An Adaptive Learning Framework that Harnesses Unlabeled Brain Signals

Brain-Computer Interfaces (BCIs) using functional near-infrared spectroscopy (fNIRS) hold promise for future interactive user interfaces due to their ease of deployment and declining cost. However, they typically require a separate calibration process for each user and task, which can be burdensome. Machine learning h…

UIST '215th+ AuthorBrain-Computer Interface (BCI) & Neurofeedback +1

Taming fNIRS-based BCI Input for Better Calibration and Broader Use

Brain-computer interfaces (BCI) are an emerging technology with many potential applications. Functional near-infrared spectroscopy (fNIRS) can provide a convenient and unobtrusive real-time input for BCI. fNIRS is especially promising as a signal that could be used to automatically classify a user’s current cognitive…

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