BNCI 2024-001 Handwritten Character Classification dataset
…Letters were classified with direct classification from low-frequency and broadband EEG…
- Participants
- 20
- Citations
- 10
- Size
- 10.2 GB
- Version
- v1.0.0
- Updated
- May 18, 2026
100 results for "automated sleep classification" · page 5 of 10 · ranked by relevance
…Letters were classified with direct classification from low-frequency and broadband EEG…
…ERPs were analyzed, and binary classification and BCI simulation were conducted offline…
…a specific task, “sleep” when a patient is sleeping the majority of…
…at 256 Hz with binary classification of target and non-target events…
…offline classification, iterative calibration (1-6 blocks) Performance (Original Study) ---------------------------- Accuracy: 95…
…A comparison of stimulus types in online classification of the P300 speller…
…Optimizing stimulus design for enhanced classification with minimal calibration data and improved…
…negative emotions) and 28.9% for seven-category emotion classification, both significantly…
…In this experiment, participants completed two tasks - classification and passive viewing. In…
…In this experiment, participants completed two tasks - classification and passive viewing. In…