| # Benchmark Protocol |
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| 1. Load a processed HDF5 dataset. |
| 2. Select an input component, such as `X_raw`, `X_wake_raw`, `X_potential_raw`, `X_external_raw`, `X_self_raw`, or `X_total_raw`. |
| 3. Construct temporal windows of length `H` using saved wake phases for each pose. |
| 4. Split by held-out test pose: all phases of each test pose are withheld. Split the remaining non-test samples into training and validation. |
| 5. Standardize inputs using training-set statistics only. |
| 6. Train the temporal MLP baseline or another model. |
| 7. Report global and close-wake position RMSE; report circular `theta_rel` MAE for full-state runs. |
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| The quick training command is for functionality testing only. Manuscript numbers come from stored summaries in `data/results/`. |
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