1 citations · 1 across the 4 of their papers we have counts for
4 papers
Bayesian Classification with Probit-link Split-and-merge Gaussian Process Prior in EEG-based Brain-Computer Interfaces
Yunong Wu, Jane E. Huggins, Jian Kang +1
A Brain-Computer Interface (BCI) speller systems based on Event-Related Potentials (ERPs) enables users to select characters by detecting brain responses to visual stimuli, recorde…
Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort
Shumeng Chen, Jane E. Huggins, Tianwen Ma
A P300 ERP-based Brain-Computer Interface (BCI) speller is an assistive communication tool. It searches for the P300 event-related potential (ERP) elicited by target stimuli, disti…
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface
Tianwen Ma, Jane E. Huggins, Jian Kang
An Event-Related Potential (ERP)-based Brain-Computer Interface (BCI) Speller System assists people with disabilities to communicate by decoding electroencephalogram (EEG) signals.…
Bayesian Inference on Brain-Computer Interfaces via GLASS
Bangyao Zhao, Jane E. Huggins, Jian Kang
Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies…