Examples#

Examples that show how to work with mobgap.

Data Loading and Handling#

Loading example data

Loading example data

Working with reference data

Working with reference data

Loading Digital Mobility Outcome (DMO) data

Loading Digital Mobility Outcome (DMO) data

Gait Sequence Detection#

GSD Iluz

GSD Iluz

Initial Contact Detection#

ICD Ionescu

ICD Ionescu

Shin Algo

Shin Algo

HKLee algo

HKLee algo

ICD Evaluation

ICD Evaluation

Left/Right Detection#

McCamley L/R detector

McCamley L/R detector

Cadence Estimation#

Cadence from Initial Contacts

Cadence from Initial Contacts

Creating final Walking Bouts#

Assembling WBs

Assembling WBs

DMO Aggregation#

Mobilised Aggregator

Mobilised Aggregator

Threshold Checker

Threshold Checker

Full Pipelines and Pipeline Helper#

Gait Sequence Iterator

Gait Sequence Iterator

Data Transformations and Filtering#

Generic Data Transforms

Generic Data Transforms

General Filter Introduction

General Filter Introduction

Resampling data

Resampling data

Continuous Wavelet Transform (CWT) - Filter

Continuous Wavelet Transform (CWT) - Filter

Gaussian Smoothing

Gaussian Smoothing

Savitzky-Golay Filter Example

Savitzky-Golay Filter Example

Development Guides#

Some recipies that should help during development of mobgap and might also be helpful, if you want to extend mobgap using new algorithms.

Pretrained models and predefined Parameters

Pretrained models and predefined Parameters

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