Comparison of markerless and marker-based motion capture in cerebral palsy and chronic stroke gait kinematics
Presenter Type
UNO Graduate Student (Doctoral)
Major/Field of Study
Biomechanics
Other
PhD, Biomechanics & Kinesiology
Author ORCID Identifier
0000-0003-4331-5283
Advisor Information
Brian A. Knarr, PhD
Location
MBSC Ballroom Poster # 708 - G (Doctoral)
Presentation Type
Poster
Start Date
24-3-2023 2:30 PM
End Date
24-3-2023 3:45 PM
Abstract
Background: Three-dimensional (3D) motion analysis is a common tool used to quantify movement patterns in adults with chronic stroke and children with cerebral palsy. However, gold-standard marker-based systems have limitations for implementation in clinical settings. Markerless motion capture using Theia3D may provide a more accessible and clinically feasible alternative, but its accuracy is unknown in clinical populations.
Objective: The purpose of this study was to quantify kinematic differences between marker-based and markerless motion capture systems in individuals with gait impairments.
Methods: Three adults with chronic stroke and three children with cerebral palsy completed overground walking trials while marker-based and markerless motion capture data were synchronously recorded. Time-series waveforms of 3D ankle, knee, hip, and trunk angles were stride normalized and compared. Root mean squared error, maximum peak, minimum peak, and range of motion were used to compare discrete points. Pearson's correlation and coefficient of multiple correlation were computed to verify the similarity between the time series from both methods.
Results: This study demonstrates that markerless motion capture using Theia3D produces good agreement with marker-based in the measurement of gait kinematics at most joints and anatomical planes in individuals with chronic stroke and cerebral palsy.
Conclusions: This is the first investigation to study the feasibility of Theia3D markerless motion capture for use in in chronic stroke and cerebral palsy gait analysis. Our results indicate that markerless motion capture may be an acceptable tool to measure gait kinematics in clinical populations where the practical benefits are necessary.
Scheduling
2:30 -3:45 p.m.
Comparison of markerless and marker-based motion capture in cerebral palsy and chronic stroke gait kinematics
MBSC Ballroom Poster # 708 - G (Doctoral)
Background: Three-dimensional (3D) motion analysis is a common tool used to quantify movement patterns in adults with chronic stroke and children with cerebral palsy. However, gold-standard marker-based systems have limitations for implementation in clinical settings. Markerless motion capture using Theia3D may provide a more accessible and clinically feasible alternative, but its accuracy is unknown in clinical populations.
Objective: The purpose of this study was to quantify kinematic differences between marker-based and markerless motion capture systems in individuals with gait impairments.
Methods: Three adults with chronic stroke and three children with cerebral palsy completed overground walking trials while marker-based and markerless motion capture data were synchronously recorded. Time-series waveforms of 3D ankle, knee, hip, and trunk angles were stride normalized and compared. Root mean squared error, maximum peak, minimum peak, and range of motion were used to compare discrete points. Pearson's correlation and coefficient of multiple correlation were computed to verify the similarity between the time series from both methods.
Results: This study demonstrates that markerless motion capture using Theia3D produces good agreement with marker-based in the measurement of gait kinematics at most joints and anatomical planes in individuals with chronic stroke and cerebral palsy.
Conclusions: This is the first investigation to study the feasibility of Theia3D markerless motion capture for use in in chronic stroke and cerebral palsy gait analysis. Our results indicate that markerless motion capture may be an acceptable tool to measure gait kinematics in clinical populations where the practical benefits are necessary.