.. _sphx_glr_auto_examples_cadence:

.. _examples-cad:

Cadence Estimation
------------------



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    <div class="sphx-glr-thumbcontainer" tooltip="The most obvious way to calculate cadence is to use the detected initial contacts. However, initial contact (IC) detection from a single lower back sensor is never perfect. If we naively calculate cadence via a step time derived by &quot;diffing&quot; the initial contacts, missing ICs or even actual breaks in the gait sequence will lead to wrong cadence values (likely underestimating the cadence). We need to be robust to these types of errors.">

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  .. image:: /auto_examples/cadence/images/thumb/sphx_glr__01_cad_from_ic_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cadence__01_cad_from_ic.py`

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      <div class="sphx-glr-thumbnail-title">Cadence from Initial Contacts</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to apply evaluation algorithms to cadence results and thus how to rate the performance of a cadence calculation algorithm.">

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  .. image:: /auto_examples/cadence/images/thumb/sphx_glr__02_cad_evaluation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_cadence__02_cad_evaluation.py`

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      <div class="sphx-glr-thumbnail-title">Cadence Evaluation</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/cadence/_01_cad_from_ic
   /auto_examples/cadence/_02_cad_evaluation