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@@ -47,6 +47,8 @@ ForceBody pairs SKEL body motion with measured ground reaction forces (GRF), inv
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  |:---:|:---:|:---:|:---:|:---:|:---:|
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  | 10,386 | 140 | 27 | 9.7M | 10 studies (AddBiomechanics) | 1.3.0 (2026-10-29) |
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  ## Demos
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  | Running | Stair ascent |
@@ -59,6 +61,8 @@ ForceBody pairs SKEL body motion with measured ground reaction forces (GRF), inv
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  <p align="center"><img src="assets/activities_grid_tau_sigma.gif" width="100%"></p>
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  ## Quick start
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  ### 0. Download the SKEL model (required)
@@ -99,6 +103,8 @@ For force or torque prediction, use `pose_source="pass0"` as model input.
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  See the GitHub repository (`code/baselines/`) for cache building, training, uncertainty-weighted finetuning, inference and scoring.
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  ## What is in a trial
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  | Field | Shape | Content |
@@ -109,6 +115,8 @@ See the GitHub repository (`code/baselines/`) for cache building, training, unce
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  | `sigma_tau`, `mu_tau` | `[T,37]` | Monte Carlo torque uncertainty and mean |
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  | `*_frame_ok` | `[T]` | Frame masks |
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  ## Files
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  | Path | Content |
@@ -120,10 +128,14 @@ See the GitHub repository (`code/baselines/`) for cache building, training, unce
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  | `SCHEMA_v1.3.csv` | Shape, unit and frame of every field |
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  | `DETAILS.md` | Full documentation (masks, conventions, known issues) |
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  ## License
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  Data under **CC BY-NC 4.0** (non-commercial). SKEL-derived fields also follow the [SKEL license](https://skel.is.tue.mpg.de/). Code on GitHub under MIT. Please cite AddBiomechanics and the source studies you use.
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  ## Citation
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  ```bibtex
 
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  |:---:|:---:|:---:|:---:|:---:|:---:|
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  | 10,386 | 140 | 27 | 9.7M | 10 studies (AddBiomechanics) | 1.3.0 (2026-10-29) |
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## Demos
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  | Running | Stair ascent |
 
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  <p align="center"><img src="assets/activities_grid_tau_sigma.gif" width="100%"></p>
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## Quick start
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  ### 0. Download the SKEL model (required)
 
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  See the GitHub repository (`code/baselines/`) for cache building, training, uncertainty-weighted finetuning, inference and scoring.
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## What is in a trial
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  | Field | Shape | Content |
 
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  | `sigma_tau`, `mu_tau` | `[T,37]` | Monte Carlo torque uncertainty and mean |
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  | `*_frame_ok` | `[T]` | Frame masks |
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## Files
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  | Path | Content |
 
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  | `SCHEMA_v1.3.csv` | Shape, unit and frame of every field |
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  | `DETAILS.md` | Full documentation (masks, conventions, known issues) |
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## License
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  Data under **CC BY-NC 4.0** (non-commercial). SKEL-derived fields also follow the [SKEL license](https://skel.is.tue.mpg.de/). Code on GitHub under MIT. Please cite AddBiomechanics and the source studies you use.
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+ <img src="assets/divider.png" width="100%" height="4">
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  ## Citation
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  ```bibtex