Liang Wang

schoolTufts Universitybar_chart#10197 Global Rank

Total Papers

HCI Rank

#10197

Research Areas

Years Active

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 '211st 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…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/24752?source=all