Examples#
Full pipelines#
Gait analysis examples from raw data to final parameters.
Preprocessing#
Examples that demonstrate the recommended preprocessing steps for typical gait analysis tasks.
Automatic sensor alignment (detailed)
Gait Detection#
Demonstrations of gait detection algorithms.
Ullrich gait sequence detection
Stride Segmentation#
Demonstrations of stride segmentation algorithms.
Constrained BarthDtw stride segmentation
Stride segmentation with Regions of Interest
HMM stride segmentation - Prediction with pre-trained model
BarthDtw stride segmentation with Custom Template
Event Detection#
Demonstrations of event detection algorithms.
Trajectory Reconstruction#
Demonstrations of trajectory reconstruction algorithms.
Stride Level Trajectory reconstruction
Region Level Trajectory reconstruction
ZUPT Dependency of the Trajectory Estimation
Parameter Calculations#
How to calculate spatial-temporal parameters from calculated events and trajectories.
Temporal parameters calculation
Spatial parameters calculation
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.
Grid Search optimal Algorithm Parameter
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.
Running multiple pipelines in parallel
Generic Algorithm#
Demonstrating the use of some gaitmap algorithms outside the context of gait analysis.