Stride Length (SL)#

Methods to calculate step length.

Algorithms#

SlZijlstra(*[, orientation_method, ...])

Implementation of the stride length algorithm by Zijlstra (2003) [R79c9f0bd5afc-1] modified by Soltani (2021) [R79c9f0bd5afc-2].

Pipelines#

pipeline.SlEmulationPipeline(algo)

Run a stride length algorithm in isolation per gait sequence/WB on a Gait Dataset.

Base Classes#

Base class for stride length calculators.

BaseSlCalculator()

Base class for SL-calculators.

Docu-helper#

base_sl_docfiller(func)

Decorator to fill common parts of the docstring for subclasses of BaseSlCalculator.

Evaluation#

As the structure of the Stride length output is very similar to the output of the full pipeline, we recommend using the pipeline level evaluation functions to create custom evaluations.

Evaluation Scores#

These scores are expected to be used in combination with Evaluation and EvaluationCV or directly with cross_validation and validation.

sl_score

Scorer class instance for SL algorithms.

`sl_per_datapoint_score`(pipeline, datapoint)	Evaluate the performance of the stride length pipeline on a single datapoint.
`sl_final_agg`(agg_results, single_results, _, ...)	Aggregate the results of the stride length evaluation.