3 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
Towards Effective Deep Neural Network Approach for Multi-Trial P300-based Character Recognition in Brain-Computer Interfaces
Praveen Kumar Shukla, Hubert Cecotti, Yogesh Kumar Meena
Brain-computer interfaces (BCIs) enable direct interaction between users and computers by decoding brain signals. This study addresses the challenges of detecting P300 event-relate…
Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection
Hubert Cecotti, Dalvir Dhaliwal, Hardip Singh +1
Post-training quantization (PTQ) is a technique used to optimize and reduce the memory footprint and computational requirements of machine learning models. It has been used primari…
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Brain-computer interface (BCI) systems facilitate unique communication between humans and computers, benefiting severely disabled individuals. Despite decades of research, BCIs are…