.. _sphx_glr_auto_revalidation_full_pipeline:

Full Pipeline
-------------



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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="The following provides an analysis and comparison of the Mobilise-D algorithm pipeline on the Mobilise-D Technical Validation Study (TVS) dataset for the estimation of walking speed (free-living). In this example, we look into the performance of the Python implementation of the pipeline compared to the reference data. We also compare the actual performance to that obtained by the original Matlab-based implementation  [1]_.">

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  .. image:: /auto_revalidation/full_pipeline/images/thumb/sphx_glr__01_pipeline_analysis_thumb.png
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  :ref:`sphx_glr_auto_revalidation_full_pipeline__01_pipeline_analysis.py`

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      <div class="sphx-glr-thumbnail-title">Walking speed estimation</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="The following provides an analysis and comparison of the Mobilise-D algorithm pipeline on the Mobilise-D Technical Validation Study (TVS) dataset for the estimation of cadence (free-living). In this example, we look into the performance of the Python implementation of the pipeline compared to the reference data. We also compare the actual performance to that obtained by the original Matlab-based implementation  [1]_.">

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  .. image:: /auto_revalidation/full_pipeline/images/thumb/sphx_glr__02_pipeline_cad_thumb.png
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  :ref:`sphx_glr_auto_revalidation_full_pipeline__02_pipeline_cad.py`

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      <div class="sphx-glr-thumbnail-title">Cadence estimation</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="The following provides an analysis and comparison of the Mobilise-D algorithm pipeline on the Mobilise-D Technical Validation Study (TVS) dataset for the estimation of stride length (free-living). In this example, we look into the performance of the Python implementation of the pipeline compared to the reference data. We also compare the actual performance to that obtained by the original Matlab-based implementation  [1]_.">

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  .. image:: /auto_revalidation/full_pipeline/images/thumb/sphx_glr__03_pipeline_sl_thumb.png
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  :ref:`sphx_glr_auto_revalidation_full_pipeline__03_pipeline_sl.py`

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      <div class="sphx-glr-thumbnail-title">Stride length estimation</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="The following analysis tries to awnser the question how much specific components of the pipeline contribute to the improvements that we see in the new implementation of the full pipeline.">

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  .. image:: /auto_revalidation/full_pipeline/images/thumb/sphx_glr__04_additional_experiments_thumb.png
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  :ref:`sphx_glr_auto_revalidation_full_pipeline__04_additional_experiments.py`

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      <div class="sphx-glr-thumbnail-title">Additional Full Pipeline Experiments</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This script reproduces the validation results on TVS dataset for the Mobilise-D algorithm pipeline. It loads the raw data and calculates three DMOs of interest (cadence, stride length and walking speed) using the full pipeline, including the following blocks:     1) gait_sequence_detection     2) initial_contact_detection     3) laterality_classification     4) cadence_calculation     5) stride_length_calculation     6) walking_speed_calculation     7) turn_detection     8) stride_selection     9) wba     10) dmo_thresholds     11) dmo_aggregation Performance metrics are calculated on a per-trial/per-recording basis and aggregated (median for most metrics) over the whole dataset. The raw per second cadence, stride length, walking speed and all performance metrics are saved to disk.">

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  .. image:: /auto_revalidation/full_pipeline/images/thumb/sphx_glr__99_pipeline_result_generation_no_exc_thumb.png
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  :ref:`sphx_glr_auto_revalidation_full_pipeline__99_pipeline_result_generation_no_exc.py`

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      <div class="sphx-glr-thumbnail-title">Revalidation of the Mobilise-D algorithm pipeline for cadence, stride length and walking speed estimation</div>
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    </div>


.. toctree::
   :hidden:

   /auto_revalidation/full_pipeline/_01_pipeline_analysis
   /auto_revalidation/full_pipeline/_02_pipeline_cad
   /auto_revalidation/full_pipeline/_03_pipeline_sl
   /auto_revalidation/full_pipeline/_04_additional_experiments
   /auto_revalidation/full_pipeline/_99_pipeline_result_generation_no_exc