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Related Experiment Video

Updated: May 29, 2025

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model.

Philippe C Dixon^1,2,3, Elodie E Drew^2,3, Sean P McBride⁴

¹Department of Kinesiology and Physical Education, McGill University, Montreal, Canada.

Computer Methods in Biomechanics and Biomedical Engineering

|February 4, 2025

Summary

This summary is machine-generated.

This study created open-source Python versions of the Oxford Foot Model (OFM) to improve transparency. Results show openOFM v1.0 accurately replicates ViconOFM, validating its use for foot motion analysis.

Keywords:

Multi-segment Vicon foot modelling intra-foot kinematics

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Establishment of a Segmental Femoral Critical-size Defect Model in Mice Stabilized by Plate Osteosynthesis

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Related Experiment Videos

Last Updated: May 29, 2025

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Using Gold-standard Gait Analysis Methods to Assess Experience Effects on Lower-limb Mechanics During Moderate High-heeled Jogging and Running

Published on: September 14, 2017

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Establishment of a Segmental Femoral Critical-size Defect Model in Mice Stabilized by Plate Osteosynthesis

Establishment of a Segmental Femoral Critical-size Defect Model in Mice Stabilized by Plate Osteosynthesis

Published on: October 12, 2016

Area of Science:

Biomechanics
Orthopedics
Motion Analysis

Background:

The Oxford Foot Model (OFM) is crucial for foot motion analysis.
Previous custom implementations have failed to reproduce ViconOFM results, indicating a lack of transparency.

Purpose of the Study:

To create an open-source Python replication of ViconOFM (openOFM v1.0).
To develop a second version (openOFM v1.1) based on original OFM publications.
To highlight differences between ViconOFM and the original OFM description.

Main Methods:

Replicated ViconOFM using Python for open-source distribution.
Developed openOFM v1.1 based on original OFM literature.
Evaluated implementations using normalized root mean square error (NRMSE) on healthy and pathological gait data.

Main Results:

The average NRMSE between ViconOFM and openOFM v1.0 was 0.0012.
Differences in ViconOFM stem from integrated smoothing/gap filling and segment definition changes.
Negligible differences support openOFM's concurrent validity.

Conclusions:

openOFM v1.0 demonstrates concurrent validity with ViconOFM for healthy and pathological gait.
openOFM v1.1 clarifies discrepancies between ViconOFM and original OFM publications.
Providing both openOFM versions enhances model accessibility and facilitates further research.