# data/

One folder per participant: `collected_<name>/` with .npz files. 9 participants, 144,793 samples total. Each .npz has `features` (N×17), `labels` (0/1), `feature_names`. Training uses 10 of the 17 (see data_preparation).

**Collect more:**

```bash
python -m models.collect_features --name yourname
```

Webcam + overlay; press 1 = focused, 0 = unfocused, p = pause, q = save and quit.