Search Results for author:
Found 3 papers, 2 papers with code
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement
Thus, in this paper, we investigate the challenges of performing accurate social distance measurement on public transportation.
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
Our approach, entitled the Subject Invariant SSVEP Generative Adversarial Network (SIS-GAN), produces synthetic EEG data from multiple SSVEP classes using a single network.
Signal Processing Image and Video Processing
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Despite significant recent progress in the area of Brain-Computer Interface (BCI), there are numerous shortcomings associated with collecting Electroencephalography (EEG) signals in real-world environments.
Quantitative Methods Signal Processing
