Uniplanar aquatic exercise quantified with inertial sensors and pose estimation

This study presents a concurrent validity analysis of two measurement techniques for quantifying uniplanar human movement during aquatic exercise. Established marker-based biomechanical motion capture systems are labour intensive, and command significant prices, limiting their accessibility in non-specialist environments. Therefore, this study assesses the applicability of alternate measurement methods; inertial measurement unit (IMU) sensors and markerless computer vision (CV) tracking in the form of pose estimation, applied to the quantification and analysis of aquatic exercise. This analysis establishes the validity of each method by deriving several performance-related metrics; range of motion, duration, and angular velocity, of uniplanar aquatic exercise repetitions. Using the proposed methods it was observed that each performance metric demonstrated excellent agreement (ICC ≥ 0.94) across methods, based on intraclass correlation coefficients in 20 healthy young adults (n = 9 women, aged 20-26). This analysis encompassed two exercise types, knee flexion-extension and hip flexion-extension. The authors highlight that this contribution represents a step toward establishing robust, accessible methods for objective exercise quantification in aquatic settings, where previously there has been an absence of convenient technical solutions.

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Publication Details

Journal
Scientific Reports
Published
2025-10-23
DOI
https://doi.org/10.1038/s41598-025-21131-1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
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article

Uniplanar aquatic exercise quantified with inertial sensors and pose estimation

I. T. Einarsson, Jon Morris, Magnús Kjartan Gíslason, Benjamin Waller et al.
Scientific Reports
Balance, Gait, and Falls Prevention
article

Uniplanar aquatic exercise quantified with inertial sensors and pose estimation

I. T. Einarsson, Jon Morris, Magnús Kjartan Gíslason, Benjamin Waller, Timo Rantalainen, Ben Wilkins, E. J. McShane, R. Baldvinsdottir
article en

Abstract

This study presents a concurrent validity analysis of two measurement techniques for quantifying uniplanar human movement during aquatic exercise. Established marker-based biomechanical motion capture systems are labour intensive, and command significant prices, limiting their accessibility in non-specialist environments. Therefore, this study assesses the applicability of alternate measurement methods; inertial measurement unit (IMU) sensors and markerless computer vision (CV) tracking in the form of pose estimation, applied to the quantification and analysis of aquatic exercise. This analysis establishes the validity of each method by deriving several performance-related metrics; range of motion, duration, and angular velocity, of uniplanar aquatic exercise repetitions. Using the proposed methods it was observed that each performance metric demonstrated excellent agreement (ICC ≥ 0.94) across methods, based on intraclass correlation coefficients in 20 healthy young adults (n = 9 women, aged 20-26). This analysis encompassed two exercise types, knee flexion-extension and hip flexion-extension. The authors highlight that this contribution represents a step toward establishing robust, accessible methods for objective exercise quantification in aquatic settings, where previously there has been an absence of convenient technical solutions.

Scientific ReportsVol. 15(1)
Reykjavík University (IS), Goodyear (United Kingdom) (GB), University of Iceland (IS), Research Institute for Olympic Sports (FI), Hendon Hospital (GB), Reykjavík Energy (Iceland) (IS)
Openalex Percentile: Top 53%
Balance, Gait, and Falls Prevention
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