FACED - Finer-grained Affective Computing EEG Dataset
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 97
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
100 results for "independent component analysis" · page 2 of 10 · ranked by relevance
…Next, the Independent Component Analysis (ICA) method (RunICA algorithm) was performed, transforming…
This dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
…Raw EEG data for 6 task paradigms (yielding 7 ERP components) from…
…Baseline driving data sets were designed to be the second component of…
…Next, the Independent Component Analysis (ICA) method (RunICA algorithm) was performed, transforming…
…Independent component analysis (ICA) was then applied, and components reflecting ocular artifacts…
…Independent component analysis (ICA) was then applied, and components reflecting ocular artifacts…
…For offline ERP analysis: downsampled to 250 Hz, lowpass filtered below 49…
…brain source activity using independent component analysis (ICA); dipole fitting; rejecting bad…