학술논문

Raccoons vs Demons: multiclass labeled P300 dataset
Document Type
Working Paper
Source
Subject
Quantitative Biology - Neurons and Cognition
Computer Science - Human-Computer Interaction
Computer Science - Machine Learning
Statistics - Machine Learning
Language
Abstract
We publish dataset of visual P300 BCI performed in Virtual Reality (VR) game Raccoons versus Demons (RvD). Data contains reach labels incorporating information about stimulus chosen enabling us to estimate model's confidence at each stimulus prediction stage. Data and experiments code are available at https://gitlab.com/impulse-neiry_public/raccoons-vs-demons