:orphan:
.. _examples-index:
========
Examples
========
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Full pipelines
==============
Gait analysis examples from raw data to final parameters.
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.. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_manual_sensor_alignment_thumb.png
:alt: Manual Sensor Alignment
:ref:`sphx_glr_auto_examples_preprocessing_manual_sensor_alignment.py`
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Manual Sensor Alignment
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.. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_automatic_sensor_alignment_compact_thumb.png
:alt: Automatic sensor alignment
:ref:`sphx_glr_auto_examples_preprocessing_automatic_sensor_alignment_compact.py`
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Automatic sensor alignment
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.. image:: /auto_examples/preprocessing/images/thumb/sphx_glr_automatic_sensor_alignment_details_thumb.png
:alt: Automatic sensor alignment (detailed)
:ref:`sphx_glr_auto_examples_preprocessing_automatic_sensor_alignment_details.py`
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Automatic sensor alignment (detailed)
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Gait Detection
===============
Demonstrations of gait detection algorithms.
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_barth_dtw_stride_segmentation_thumb.png
:alt: BarthDtw stride segmentation
:ref:`sphx_glr_auto_examples_stride_segmentation_barth_dtw_stride_segmentation.py`
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BarthDtw stride segmentation
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_constrained_barth_dtw_stride_segmentation_thumb.png
:alt: Constrained BarthDtw stride segmentation
:ref:`sphx_glr_auto_examples_stride_segmentation_constrained_barth_dtw_stride_segmentation.py`
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Constrained BarthDtw stride segmentation
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_barth_dtw_stride_segmentation_roi_thumb.png
:alt: Stride segmentation with Regions of Interest
:ref:`sphx_glr_auto_examples_stride_segmentation_barth_dtw_stride_segmentation_roi.py`
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Stride segmentation with Regions of Interest
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_roth_hmm_stride_segmentation_thumb.png
:alt: HMM stride segmentation - Prediction with pre-trained model
:ref:`sphx_glr_auto_examples_stride_segmentation_roth_hmm_stride_segmentation.py`
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HMM stride segmentation - Prediction with pre-trained model
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_segmentation_hmm_training_thumb.png
:alt: SegmentationModel Training
:ref:`sphx_glr_auto_examples_stride_segmentation_segmentation_hmm_training.py`
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SegmentationModel Training
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.. image:: /auto_examples/stride_segmentation/images/thumb/sphx_glr_barth_dtw_custom_template_thumb.png
:alt: BarthDtw stride segmentation with Custom Template
:ref:`sphx_glr_auto_examples_stride_segmentation_barth_dtw_custom_template.py`
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BarthDtw stride segmentation with Custom Template
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Event Detection
===============
Demonstrations of event detection algorithms.
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.. image:: /auto_examples/trajectory_reconstruction/images/thumb/sphx_glr_trajectory_reconstruction_thumb.png
:alt: Stride Level Trajectory reconstruction
:ref:`sphx_glr_auto_examples_trajectory_reconstruction_trajectory_reconstruction.py`
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Stride Level Trajectory reconstruction
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.. image:: /auto_examples/trajectory_reconstruction/images/thumb/sphx_glr_trajectory_reconstruction_region_thumb.png
:alt: Region Level Trajectory reconstruction
:ref:`sphx_glr_auto_examples_trajectory_reconstruction_trajectory_reconstruction_region.py`
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Region Level Trajectory reconstruction
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.. image:: /auto_examples/trajectory_reconstruction/images/thumb/sphx_glr_zupt_dependency_thumb.png
:alt: ZUPT Dependency of the Trajectory Estimation
:ref:`sphx_glr_auto_examples_trajectory_reconstruction_zupt_dependency.py`
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ZUPT Dependency of the Trajectory Estimation
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.. image:: /auto_examples/trajectory_reconstruction/images/thumb/sphx_glr_advanced_kalman_filter_usage_thumb.png
:alt: Advanced Kalman Filter Usage
:ref:`sphx_glr_auto_examples_trajectory_reconstruction_advanced_kalman_filter_usage.py`
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Advanced Kalman Filter Usage
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Parameter Calculations
======================
How to calculate spatial-temporal parameters from calculated events and trajectories.
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.. image:: /auto_examples/parameters/images/thumb/sphx_glr_temporal_parameters_thumb.png
:alt: Temporal parameters calculation
:ref:`sphx_glr_auto_examples_parameters_temporal_parameters.py`
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Temporal parameters calculation
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.. image:: /auto_examples/parameters/images/thumb/sphx_glr_spatial_parameters_thumb.png
:alt: Spatial parameters calculation
:ref:`sphx_glr_auto_examples_parameters_spatial_parameters.py`
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Spatial parameters calculation
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Datasets and Pipelines
======================
Examples that show how to to use `tpcp` datasets and pipelines together with gaitmap.
These are basically the same examples you will find in the tpcp documentation, but adapted to work with gaitmap.
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.. image:: /auto_examples/datasets_and_pipelines/images/thumb/sphx_glr_gridsearch_thumb.png
:alt: Grid Search optimal Algorithm Parameter
:ref:`sphx_glr_auto_examples_datasets_and_pipelines_gridsearch.py`
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Grid Search optimal Algorithm Parameter
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.. image:: /auto_examples/datasets_and_pipelines/images/thumb/sphx_glr_optimizable_pipelines_thumb.png
:alt: Optimizable Pipelines
:ref:`sphx_glr_auto_examples_datasets_and_pipelines_optimizable_pipelines.py`
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Optimizable Pipelines
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.. image:: /auto_examples/datasets_and_pipelines/images/thumb/sphx_glr_cross_validation_thumb.png
:alt: Cross Validation
:ref:`sphx_glr_auto_examples_datasets_and_pipelines_cross_validation.py`
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Cross Validation
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.. image:: /auto_examples/datasets_and_pipelines/images/thumb/sphx_glr_custom_dataset_thumb.png
:alt: Custom Dataset
:ref:`sphx_glr_auto_examples_datasets_and_pipelines_custom_dataset.py`
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Custom Dataset
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.. image:: /auto_examples/datasets_and_pipelines/images/thumb/sphx_glr_gridsearch_cv_thumb.png
:alt: GridSearchCV
:ref:`sphx_glr_auto_examples_datasets_and_pipelines_gridsearch_cv.py`
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GridSearchCV
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Advanced Features
=================
These examples cover some of the low-level functionality of gaitmap that can be helpfull for for more advanced tasks
and performance optimization.
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.. image:: /auto_examples/advanced_features/images/thumb/sphx_glr_multi_process_thumb.png
:alt: Running multiple pipelines in parallel
:ref:`sphx_glr_auto_examples_advanced_features_multi_process.py`
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Running multiple pipelines in parallel
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.. image:: /auto_examples/advanced_features/images/thumb/sphx_glr_algo_serialize_thumb.png
:alt: Export Algorithms to JSON
:ref:`sphx_glr_auto_examples_advanced_features_algo_serialize.py`
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Export Algorithms to JSON
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.. image:: /auto_examples/advanced_features/images/thumb/sphx_glr_caching_thumb.png
:alt: Caching algorithm outputs
:ref:`sphx_glr_auto_examples_advanced_features_caching.py`
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Caching algorithm outputs
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Generic Algorithm
=================
Demonstrating the use of some gaitmap algorithms outside the context of gait analysis.
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