WearBCI provides the first multimodal dataset of wearable EEG signals under varied motion conditions with benchmarks for artifact removal and behavior analysis.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals
WearBCI provides the first multimodal dataset of wearable EEG signals under varied motion conditions with benchmarks for artifact removal and behavior analysis.