.. _sphx_glr_auto_examples_motor-imagery:
Classification of motor imagery
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Using Riemannian geometry for classifying motor imagery.
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.. image:: /auto_examples/motor-imagery/images/thumb/sphx_glr_plot_single_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_motor-imagery_plot_single.py`
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Motor imagery classification
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.. image:: /auto_examples/motor-imagery/images/thumb/sphx_glr_plot_ensemble_coherence_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_motor-imagery_plot_ensemble_coherence.py`
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Ensemble learning on functional connectivity
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.. image:: /auto_examples/motor-imagery/images/thumb/sphx_glr_plot_frequency_band_selection_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_motor-imagery_plot_frequency_band_selection.py`
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Frequency band selection on the manifold for motor imagery classification
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.. image:: /auto_examples/motor-imagery/images/thumb/sphx_glr_plot_augmented_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_motor-imagery_plot_augmented.py`
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Augmented Covariance Matrix
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.. toctree::
:hidden:
/auto_examples/motor-imagery/plot_single
/auto_examples/motor-imagery/plot_ensemble_coherence
/auto_examples/motor-imagery/plot_frequency_band_selection
/auto_examples/motor-imagery/plot_augmented