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Home-Based Monitor for Gait and Activity Analysis

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Associations of Markerless Motion-Based Physical Function Test Performance with Running Gait Kinetics: Application

Katherine Tansky¹, Ryan M Nixon², Matthew Martenson²

¹Medicine University of Florida.

International Journal of Sports Physical Therapy

|July 6, 2026

Summary

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Markerless motion capture effectively assesses running injury risk by correlating functional test performance with running kinetics. This technology offers a faster, cheaper alternative for clinical screening.

Area of Science:

Biomechanics
Sports Medicine
Kinetics and Kinematics

Background:

Effective, accessible running injury risk screening is crucial for clinical settings.
Markerless motion capture (MMC) provides comprehensive, rapid, and cost-effective kinematic and kinetic data compared to traditional lab methods.
MMC can enhance high-volume screening for running-related injuries.

Purpose of the Study:

To characterize functional test performance in endurance runners using MMC.
To assess the association between MMC-derived functional movement performance and instrumented treadmill running kinetics.
To explore sex differences in functional performance and gait characteristics.

Main Methods:

Sixty-two recreational runners underwent instrumented treadmill running and MMC-based functional tests (lateral bound, 5-hop, single-leg jump).

Keywords:

ground reaction force hop test jump landing physical function running

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Ground reaction forces (GRF) and vertical average loading rate (VALR) were calculated.

Correlations were analyzed between running kinetics and functional test performance metrics (jump height, distance, asymmetry).

Main Results:

Moderate-to-strong correlations (r=0.641-0.882) were found between peak running GRFs and MMC-derived functional tests.
Performance scores showed fair-to-moderate relationships (r=0.502-0.882).
Correlations between running VALRs and functional test GRFs were lower (r=0.147-0.742).

Conclusions:

MMC-derived GRFs correlate well with GRFs during running, validating its use.
Functional tests using MMC show potential for assessing running injury risk.
MMC presents a cost-effective and time-efficient method for obtaining valuable kinetic data in runners.