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Inter-session repeatability of Theia3D markerless motion capture gait kinematics

View ORCID ProfileRobert Kanko, View ORCID ProfileElise Laende, Scott Selbie, View ORCID ProfileKevin Deluzio
doi: https://doi.org/10.1101/2020.06.23.155358
Robert Kanko
1Department of Mechanical & Materials Engineering, Queen’s University, Kingston, Canada
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  • For correspondence: r.kanko@queensu.ca
Elise Laende
1Department of Mechanical & Materials Engineering, Queen’s University, Kingston, Canada
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Scott Selbie
2Theia Markerless Inc., Kingston, Canada
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Kevin Deluzio
1Department of Mechanical & Materials Engineering, Queen’s University, Kingston, Canada
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Abstract

The reliability of kinematic gait data obtained using marker-based motion capture has been questioned due to its sensitivity to marker placement and soft tissue artefact. Markerless motion capture systems are free from these errors associated with marker-based systems and may be able to measure gait kinematics more reliably. This work aimed to determine the reliability of kinematic gait data obtained using Theia3D markerless motion capture, based on an established method. Seven healthy adult participants performed three sessions of ten over-ground walking trials in their own clothing while eight synchronized and calibrated cameras recorded video. Theia3D software was used to process the videos and obtain three-dimensional pose estimates of a multibody model scaled to each of the participants. The established method removes inter-subject variability and estimates average inter-session and inter-trial errors, and the ratio between them. Kinematic patterns across all sessions within individuals were consistent, particularly in the sagittal plane. Inter-trial errors were similar to those previously reported, and the average across all joints was 2.61°. Inter-session errors were similar or smaller than the inter-operator errors reported in previous reliability studies, and the average across all joints was 2.75°. Error ratios were lower than those reported elsewhere, with the largest being 1.1 and the average being 1.06, indicating that multiple sessions increased the total variability of subjects’ joint angle patterns by 6% over their natural inter-trial variability. These results indicate that gait kinematics measured using Theia3D markerless motion capture are more reliable than those measured using marker-based methods and are largely unaffected by multi-session methodologies.

Competing Interest Statement

Scott Selbie is the President of Theia Markerless Inc. (Kingston, Ontario), the developers of Theia3D. He contributed to the conception and design of the study, critically revised the article for intellectual content, and provided final approval of the submitted version. Scott Selbie was not involved with the collection, analysis, or interpretation of data.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted June 24, 2020.
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Inter-session repeatability of Theia3D markerless motion capture gait kinematics
Robert Kanko, Elise Laende, Scott Selbie, Kevin Deluzio
bioRxiv 2020.06.23.155358; doi: https://doi.org/10.1101/2020.06.23.155358
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Inter-session repeatability of Theia3D markerless motion capture gait kinematics
Robert Kanko, Elise Laende, Scott Selbie, Kevin Deluzio
bioRxiv 2020.06.23.155358; doi: https://doi.org/10.1101/2020.06.23.155358

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