Computer vision versus wearables assessment of the up-on-the-toes 30-second test

The rising up-on-the-toes (UTT) 30-second test is used clinically to assess ankle muscle strength and endurance. Typically, the test is subjectively evaluated by counting how many UTT movements are completed. We have recently shown that the UTT test can be objectively assessed using signals from small inertial measurement units (IMUs). The current study investigates whether computer vision (CV) analysis of the UTT test gives comparable outcomes to IMU analysis. A CV-based system was applied to video recordings of 29 older adult participants (76.0 ± 4.3 years) performing the UTT test with IMUs attached to their feet. Angular velocity time series signals were generated using both IMU and video object detection of the right foot landmarks, enabling peak plantarflexion velocities during the ascent and descent phases to be extracted. Findings demonstrate that the CV-based approach produces closely aligned output metrics with IMU data, with coefficient of determination (R2) values of ≥0.91.

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Publication Details

Journal
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
Published
2025-03-29
DOI
https://doi.org/10.1080/21681163.2025.2485095
Citations
1
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
2.44

Funders

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article

Computer vision versus wearables assessment of the up-on-the-toes 30-second test

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1 citations
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
Ergonomics and Musculoskeletal Disorders
2.44
article

Computer vision versus wearables assessment of the up-on-the-toes 30-second test

R. Jaber, André Luíz Félix Rodacki, Rami Qahwaji, Sarah Aruje Zahid, John G. Buckley
article en
1 citations

Abstract

The rising up-on-the-toes (UTT) 30-second test is used clinically to assess ankle muscle strength and endurance. Typically, the test is subjectively evaluated by counting how many UTT movements are completed. We have recently shown that the UTT test can be objectively assessed using signals from small inertial measurement units (IMUs). The current study investigates whether computer vision (CV) analysis of the UTT test gives comparable outcomes to IMU analysis. A CV-based system was applied to video recordings of 29 older adult participants (76.0 ± 4.3 years) performing the UTT test with IMUs attached to their feet. Angular velocity time series signals were generated using both IMU and video object detection of the right foot landmarks, enabling peak plantarflexion velocities during the ascent and descent phases to be extracted. Findings demonstrate that the CV-based approach produces closely aligned output metrics with IMU data, with coefficient of determination (R2) values of ≥0.91.

Computer Methods in Biomechanics and Biomedical Engineering Imaging & VisualizationVol. 13(1)
University of Bradford (GB), Universidade Federal do Paraná (BR)
University of Bradford
Openalex Percentile: Top 14%
Ergonomics and Musculoskeletal Disorders
2.44
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