Cadence Estimation (CAD)

Methods to calculate cadence either from initial contacts or using dedicated cadence algorithms.

Cadence from ICs

CadFromIc(*[, step_time_smoothing, ...])	Calculate cadence per second directly from initial contacts.
CadFromIcDetector([ic_detector, ...])	Calculate cadence per second by detecting initial contacts using a provided IC detector.

Base Classes

Base classes for all Cadence calculation methods.

BaseCadCalculator()

Base class for cadence calculation algorithms.

Docu-helper

base_cad_docfiller(func)

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

Pipelines

pipeline.CadEmulationPipeline(algo)

Run a cadence estimation algorithm in isolation per gait sequence/WB on a Gait Dataset.

Evaluation

As the structure of the Cadence 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.

cad_score

cad_per_datapoint_score(pipeline, datapoint)	Evaluate the performance of the cadence pipeline on a single datapoint.
cad_final_agg(agg_results, single_results, ...)	Aggregate the results of the cadence evaluation.