| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - computer-vision |
| - pose-estimation |
| - drowsiness-detection |
| - driver-monitoring |
| pretty_name: FatigueSense Training Data |
| --- |
| |
| # FatigueSense Training Data |
|
|
| Domain-specific recordings and derived training artifacts for the FatigueSense |
| fatigue-detection pipeline. This dataset supports **YOLO11n-pose retraining** |
| (upper-body keypoints) and **BiGRU temporal model** training (1 Hz feature windows). |
|
|
| ## Contents |
|
|
| | Path | Used by | Description | |
| |------|---------|-------------| |
| | `pose/` | `model_architecture.train_yolo_pose` | YOLO-pose images + labels (5 kpts: nose, ears, shoulders). Pseudo-labeled with `yolo11n-pose.pt`. | |
| | `pose/dataset.yaml` | Ultralytics training | Portable config (`path: .`); 70/15/15 train/val/test **by video** (no subject leakage). | |
| | `temporal/features/` | `model_architecture.train_temporal_model` | Stage 2 Parquets — one file per video, 17-dim per-second features. | |
| | `temporal/raw_probs/` | Reproducibility | Stage 1 per-frame eye/mouth probs + pose keypoints. | |
| | `videos/` | Optional | 25 raw source clips (upload with `--include-videos`). | |
| | `manifest.json` | — | Split stems, feature schema, file counts (auto-generated on upload). | |
|
|
| ## Provenance |
|
|
| 1. **Videos** — local `videos/` directory (25 clips, driver/desk POV). |
| 2. **Pose** — `scripts/pose/extract_frames.py` → `scripts/pose/pseudo_label.py` → `data/pose/`. |
| 3. **Temporal** — `scripts/temporal/extract_probs.py` → `scripts/temporal/aggregate_features.py` → `data/temporal/`. |
|
|
| Temporal labels are **bootstrap heuristics** over the same features (PERCLOS, yawn rate, blink duration, posture), not human focus scores. Replace when annotated labels exist. |
|
|
| ## Feature schema (17 dimensions) |
|
|
| `perclos`, `blink_rate_bpm`, `mean_blink_duration`, `eye_closure_variance`, |
| `yawn_rate_per_min`, `mean_yawn_duration`, `mouth_open_ratio`, `mean_p_eye`, |
| `mean_p_mouth`, `head_pitch`, `head_roll`, `shoulder_tilt`, `head_size_ratio`, |
| `head_motion_energy`, `head_drift_y`, `posture_drift`, `kpt_visibility`. |
|
|
| See `fatigue_pipeline/constants.py` for definitions. |
|
|
| ## Download |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| root = snapshot_download("Jlords32/FatigueSense", repo_type="dataset") |
| # pose: {root}/pose |
| # temporal: {root}/temporal/features |
| ``` |
|
|
| ## Citation |
|
|
| If you use this data, cite the FatigueSense project repository. |
|
|
