Evidence map›Paper›PMID 41899801›Full record

ArticleBioengineering (Basel, Switzerland)2026

Test-Retest Reliability and Validity of a Sums-of-Gaussians-Based Markerless Motion Capture System for Human Lower-Limb Gait Kinematics.

Yifei Shou, Chuang Gao, Chenbin Xi, Junqi Jia, Jiaojiao Lü, Yufei Fang, Chengte Lin, Zhiqiang Liang

Abstract read
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Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yifei ShouFaculty of Sports Science, Ningbo University, Ningbo 315211, China.
Chuang GaoFaculty of Sports Science, Ningbo University, Ningbo 315211, China.
Chenbin XiFaculty of Sports Science, Ningbo University, Ningbo 315211, China.
Junqi JiaFaculty of Sports Science, Ningbo University, Ningbo 315211, China.
Jiaojiao LüKey Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai 200438, China.
Yufei FangDepartment of Rehabilitation Medicine, Ningbo No. 2 Hospital, Ningbo 315010, China.
Chengte LinState Key Laboratory of Advanced Marine Materials, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-7090-9610
Zhiqiang LiangFaculty of Sports Science, Ningbo University, Ningbo 315211, China.

Funding

China Postdoctoral Science Foundation 2024M761525the Student Research and Innovation Program of Ningbo University 2025SRIP0514Zhejiang Province Rehabilitation Medical Society Research Special Fund ZKKY2024012
6 · The paper itself

Abstract

BACKGROUND AND

aimTraditional marker-based optical motion capture systems are costly, time-consuming to operate, and constrained by laboratory environments, limiting their broader adoption in clinical practice and naturalistic settings. Markerless motion capture based on a sums-of-Gaussians (SoG) body model is a potential alternative; however, its metrological properties for kinematic assessment during walking and slow running remain insufficiently validated. Using a conventional marker-based Vicon system as the reference, this study evaluated the reliability and concurrent validity of an SoG-based markerless system (MocapGS) for bilateral lower-limb joint range of motion (ROM) during gait.

methodsThirty-six healthy adults completed self-selected-pace speed walking and slow running tasks while both systems synchronously acquired bilateral lower-limb kinematics. The intraclass correlation coefficient (ICC), standard error of measurement (SEM), SEM percentage (SEM%), minimal detectable change (MDC), MDC percentage (MDC%), and root mean square error (RMSE) were used to assess reliability. Concurrent validity was evaluated using the Pearson correlation coefficient, paired-sample t-tests, and the concordance correlation coefficient (CCC) to compare the ROM.

resultsVicon showed moderate-to-high reliability for ROM in most joints across both tasks. By contrast, the MocapGS achieved acceptable ICC values mainly for the sagittal-plane ROM at the hip and knee. The CCC analysis showed no significant agreement between the two systems. Bland-Altman plots showed systematic biases with spatially heterogeneous random errors. During walking, MocapGS systematically overestimated ROM relative to Vicon at several joint axes; the widest limits of agreement (LOA) occurred at the left knee X-axis and right hip Z-axis. During running, overestimation was consistent across all bilateral joints at the X-axis and the right hip at the Y-axis, while the widest LOA were found at the bilateral hip X-axes. These specific discrepancies highlighted the joint-axis combinations with the greatest measurement variance. In walking, the test-retest reliability of the knee flexion-extension ROM measured by the MocapGS approached that of Vicon; however, the SEM% and MDC% were generally larger for MocapGS than for Vicon. The RMSE exceeded 5 degrees for ROM in most joint planes, especially in the frontal and transverse planes and at distal joints; errors increased further during slow running.

conclusionsMocapGS may be used for coarse monitoring of large-magnitude changes in sagittal-plane kinematics during gait; however, it is currently unlikely to replace Vicon for clinical decision-making or detecting subtle gait changes, and its outputs should be interpreted with caution, particularly for ankle kinematics and non-sagittal-plane motion.

Indexed as

concurrent validitygait analysisjoint kinematicsmarkerless motion capturereliabilityslow runningsums-of-Gaussians body modelwalking

Identifiers

PMID41899801
PMCPMC13024124

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.