.. _sphx_glr_auto_examples_SSVEP:

Classification of SSVEP
-----------------------

Using Riemannian geometry for classifying steady-state visually evoked potentials (SSVEP).



.. raw:: html

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


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    <div class="sphx-glr-thumbcontainer" tooltip="Building extended covariance matrices for SSVEP-based BCI. The obtained matrices are shown. A M...">

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  .. image:: /auto_examples/SSVEP/images/thumb/sphx_glr_plot_classify_ssvep_mdm_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_SSVEP_plot_classify_ssvep_mdm.py`

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      <div class="sphx-glr-thumbnail-title">Offline SSVEP-based BCI Multiclass Prediction</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Project extended covariance matrices of SSVEP-based BCI in the tangent space, using principal g...">

.. only:: html

  .. image:: /auto_examples/SSVEP/images/thumb/sphx_glr_plot_classify_ssvep_pga_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_SSVEP_plot_classify_ssvep_pga.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Visualization of SSVEP-based BCI Classification in Tangent Space</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /auto_examples/SSVEP/plot_classify_ssvep_mdm
   /auto_examples/SSVEP/plot_classify_ssvep_pga