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+---
+gallery_title: "ADL Gait (beta)"
+gallery_image: "/Applications/images/ADL_Gait.webp"
+---
+
+(sphx_glr_auto_examples_MoCap_plot_ADL_Gait.py)=
+(example_adlgait)=
+# ADL Gait (beta)
+
+````{sidebar} **Example**
+<img src="/Applications/images/ADL_Gait.webp" width="70%" align="center">
+````
+
+Fullbody MoCap model with multiple subjects and trials based on the 
+"Rehazenter Adult Walking Dataset" by [Schreiber and Moissenet (2019)](https://doi.org/10.1038/s41597-019-0124-4).
+
+:::{admonition} **Main file location in AMMR:**
+:class: see-also
+
+  {menuselection}`Application --> MocapExamples --> ADL_Gait_[beta]`
+:::
+
+
+The model has 50 subjects and 1145 trials. Subjects walk at five different
+speeds (conditions) C1: 0–0.4 m/s, C2: 0.4–0.8 m/s, C3: 0.8–1.2 m/s, C4: a 
+self-selected spontaneous speed, C5, self-selected fast speed.
+
+The dataset uses 53 reflective markers and measured ground reaction forces. A 
+standing reference trial is used to identify a number parameters: 
+
+* Segment lengths
+* Tibial torsion angle
+* Varus-valgus angle
+* Unconstrained marker positions
+
+These parameters are then loaded in the matching dynamic trials. 
+
+:::{warning} The model is a starting point for analysing the 
+[Rehazenter adult walking dataset](https://doi.org/10.1038/s41597-019-0124-4). 
+The model has not been through *any* kind of validation or publication. It is likely that 
+some results will not be correct without further adjustments.
+:::
+  
+Choices of model parameters are in some cases arbitrary as this model is a work in progress. If you come up 
+with improvements to the model please share them back. 
+
+The model was created by [Enrico De Pieri](https://www.linkedin.com/in/enrico-de-pieri-13096a7a), 
+[Anderson de Souza Castelo Oliveira](https://vbn.aau.dk/en/persons/oliveira), and [Morten Enemark Lund](https://www.linkedin.com/in/biomedical) but has not yet been used for publication.
+
+
+## Dataset
+
+The full "Rehazenter adult walking dataset" is not distributed with the model. Schreiber and Moissenet (2019) has
+released the data under a Creative Commons license (CC BY 4.0). 
+
+You must download the data sepearately from this model:
+
+* [Rehazenter adult walking dataset](https://figshare.com/articles/dataset/A_multimodal_dataset_of_human_gait_at_different_walking_speeds/7734767)
+
+After downloading extract the data into the `C3DFiles` sub folder. 
+
+
+## Model structure
+
+The model files are structured so each trial has its own folder with a main file
+(`Main.any`) and a file with trial specific data (`TrialSpecificData.any`).
+The C3D files are placed together in a separate folder.
+
+The model is structured as outlined below:
+
+```
+
+   Application/MocapExamples/ADL_Gait_[beta]
+    │   libdef.any
+    │   C3DSettings.any
+    │   BodyModelConfig.any
+    │   ExtraDrivers.any
+    │   ForcePlates.any
+    │   MarkerProtocol.any
+    │   LabSpecificData.any
+    │
+    ├───C3DFiles\
+    |   │  
+    |   ├───2014001\
+    |   |      2014001_C1_01.c3d
+    |   |      2014001_C1_02.c3d
+    |   |      ..
+    |   |      2014001_ST.c3d
+    │   |
+    |   └───2014002\
+    │          ..
+    │
+    ├───Output\
+    │
+    └───Subjects\
+        │
+        ├───2014001\
+        │   |   SubjectSpecificData.any
+        |   |
+        │   ├───2014001_C1_01\
+        |   |      Main.any
+        |   |      TrialSpecificData.any
+        |   :   
+        |   |   
+        │   └───2014001_ST\
+        |          Main.any
+        |          TrialSpecificData.any
+        │   
+        └───2014002\
+            |   SubjectSpecificData.any
+            |
+            ├───2014002_C1_01\
+            |      Main.any
+            |      TrialSpecificData.any
+            : 
+```
+
+## Batch processing
+
+The model also contains a batch processing Python script for running all models. The script 
+`batchprocess.py` is located in the top-level folder. 
+
+To use the scirpt install the [Anaconda Python Distribution](https://www.anaconda.com/download). 
+
+The script uses the [AnyPyTools](https://github.com/AnyBody-Research-Group/AnyPyTools) library for working with the
+AnyBody Model System ( [Lund 2019](https://doi.org/10.21105/joss.01108) ). The library can be installed with:
+
+```bash
+conda install -c conda-forge anypytools
+```
+
+Then run the following command in the model folder:
+
+```bash
+python batchprocess.py
+```
+
+:::{note} You may need to modify the script to output the variables you are interested in. It may also 
+    be necessary to modify the number parallel AnyBody instances to match the number of licenses you have. 
+:::    
+
+## Bibliography
+
+Please cite the following paper when using the data. 
+
+> Schreiber, C., Moissenet, F. A multimodal dataset of human gait at different walking speeds established on injury-free adult participants. Sci Data 6, 111 (2019). https://doi.org/10.1038/s41597-019-0124-4
+
+