Publikation: AI-based markerless single-camera motion analysis for estimating knee and hip joint kinematics during gait
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2024
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HOLDER, Jana, Hrsg., Isabella FESSL, Hrsg., Eric HARBOUR, Hrsg. und andere. ISBS 2024 Conference Proceedings. Michigan: NMU Commons, 2024, S. 822-825. ISBS Conference Proceedings Archive. 42
Zusammenfassung
This study aimed to pilot-test a markerless motion analysis approach (i.e., SMARTGAIT) for estimating knee and hip joint kinematics in the sagittal and frontal plane during overground walking. One person (age 24 years) walked four times over an 8-meter distance. Joint kinematics were measured using SMARTGAIT (single RGB smartphone camera) and Vicon (reference system). Angle trajectories of sixteen gait cycles were used for the analysis. Agreement between SMARTGAIT and Vicon angle trajectories was greater in the sagittal plane (hip: Pearson’s r=0.989; knee: r=0.990; root mean square error [RMSE] ≤2.6 deg) compared to the frontal plane (hip: r=0.789; knee: r=0.793; RMSE ≤3.9 deg). These initial results show the potential of SMARTGAIT for measuring lower extremity joint kinematics. The camera perspective may influence the accuracy of SMARTGAIT.
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796 Sport
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markerless motion analysis, gait, joint kinematics
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42nd Conference of the International Society of Biomechanics in Sports (ISBS) 2024, 15. Juli 2024 - 19. Juli 2024, Salzburg, Austria
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SCHWENK, Michael, Philipp BARZYK, Alina BODEN, Daniel SEEBACHER, Philip ZIMMERMANN, Manuel STEIN, Markus GRUBER, 2024. AI-based markerless single-camera motion analysis for estimating knee and hip joint kinematics during gait. 42nd Conference of the International Society of Biomechanics in Sports (ISBS) 2024. Salzburg, Austria, 15. Juli 2024 - 19. Juli 2024. In: HOLDER, Jana, Hrsg., Isabella FESSL, Hrsg., Eric HARBOUR, Hrsg. und andere. ISBS 2024 Conference Proceedings. Michigan: NMU Commons, 2024, S. 822-825. ISBS Conference Proceedings Archive. 42BibTex
@inproceedings{Schwenk2024AIbas-71193,
year={2024},
title={AI-based markerless single-camera motion analysis for estimating knee and hip joint kinematics during gait},
url={https://commons.nmu.edu/isbs/vol42/iss1/110},
number={42},
publisher={NMU Commons},
address={Michigan},
series={ISBS Conference Proceedings Archive},
booktitle={ISBS 2024 Conference Proceedings},
pages={822--825},
editor={Holder, Jana and Fessl, Isabella and Harbour, Eric},
author={Schwenk, Michael and Barzyk, Philipp and Boden, Alina and Seebacher, Daniel and Zimmermann, Philip and Stein, Manuel and Gruber, Markus}
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<dcterms:abstract>This study aimed to pilot-test a markerless motion analysis approach (i.e., SMARTGAIT) for estimating knee and hip joint kinematics in the sagittal and frontal plane during overground walking. One person (age 24 years) walked four times over an 8-meter distance. Joint kinematics were measured using SMARTGAIT (single RGB smartphone camera) and Vicon (reference system). Angle trajectories of sixteen gait cycles were used for the analysis. Agreement between SMARTGAIT and Vicon angle trajectories was greater in the sagittal plane (hip: Pearson’s r=0.989; knee: r=0.990; root mean square error [RMSE] ≤2.6 deg) compared to the frontal plane (hip: r=0.789; knee: r=0.793; RMSE ≤3.9 deg). These initial results show the potential of SMARTGAIT for measuring lower extremity joint kinematics. The camera perspective may influence the accuracy of SMARTGAIT.</dcterms:abstract>
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