Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies

Placing an inertial measurement unit (IMU) at the 5th lumbar vertebra (L5) is a frequently employed method to assess the whole-body center of mass (CoM) motion during walking. However, such a fixed position approach does not account for instantaneous changes in body segment positions that change the...

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Main Authors: Jasmine Y. Liang, Li-Shan Chou
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Wearable Technologies
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Online Access:https://www.cambridge.org/core/product/identifier/S2631717624000124/type/journal_article
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author Jasmine Y. Liang
Li-Shan Chou
author_facet Jasmine Y. Liang
Li-Shan Chou
author_sort Jasmine Y. Liang
collection DOAJ
description Placing an inertial measurement unit (IMU) at the 5th lumbar vertebra (L5) is a frequently employed method to assess the whole-body center of mass (CoM) motion during walking. However, such a fixed position approach does not account for instantaneous changes in body segment positions that change the CoM. Therefore, this study aimed to assess the congruence between CoM accelerations obtained from these two methods. The CoM positions were calculated based on trajectory data from 49 markers placed on bony landmarks, and its accelerations were computed using the finite-difference algorithm. Concurrently, accelerations were obtained with an IMU placed at L5, a proxy CoM position. Data were collected from 16 participants. Bland–Altman Limits of Agreement and Statistical Parametric Mapping approaches were used to examine the similarity and differences between accelerations directly obtained from the IMU and those derived from position data of the L5 marker (ML5) and whole-body CoM during a gait cycle. The correlation was moderate between IMU and CoM accelerations (r = 0.58) and was strong between IMU and ML5 or between CoM and ML5 accelerations (r = 0.76). There were significant differences in magnitudes between CoM and ML5 and between CoM and IMU accelerations along the anteroposterior and mediolateral directions during the early loading response, mid-stance, and terminal stance to pre-swing. Such comprehensive understanding of the similarity or discrepancy between CoM accelerations acquired by a single IMU and a camera-based motion capture system could further improve the development of wearable sensor technology for human movement analysis.
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spelling doaj-art-4f059f22ea6446dd8e34cb8a5826c08a2024-11-22T08:43:37ZengCambridge University PressWearable Technologies2631-71762024-01-01510.1017/wtc.2024.12Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologiesJasmine Y. Liang0https://orcid.org/0000-0003-4206-8604Li-Shan Chou1https://orcid.org/0000-0002-2777-7034Department of Kinesiology, Iowa State University, Ames, IA, USADepartment of Kinesiology, Iowa State University, Ames, IA, USAPlacing an inertial measurement unit (IMU) at the 5th lumbar vertebra (L5) is a frequently employed method to assess the whole-body center of mass (CoM) motion during walking. However, such a fixed position approach does not account for instantaneous changes in body segment positions that change the CoM. Therefore, this study aimed to assess the congruence between CoM accelerations obtained from these two methods. The CoM positions were calculated based on trajectory data from 49 markers placed on bony landmarks, and its accelerations were computed using the finite-difference algorithm. Concurrently, accelerations were obtained with an IMU placed at L5, a proxy CoM position. Data were collected from 16 participants. Bland–Altman Limits of Agreement and Statistical Parametric Mapping approaches were used to examine the similarity and differences between accelerations directly obtained from the IMU and those derived from position data of the L5 marker (ML5) and whole-body CoM during a gait cycle. The correlation was moderate between IMU and CoM accelerations (r = 0.58) and was strong between IMU and ML5 or between CoM and ML5 accelerations (r = 0.76). There were significant differences in magnitudes between CoM and ML5 and between CoM and IMU accelerations along the anteroposterior and mediolateral directions during the early loading response, mid-stance, and terminal stance to pre-swing. Such comprehensive understanding of the similarity or discrepancy between CoM accelerations acquired by a single IMU and a camera-based motion capture system could further improve the development of wearable sensor technology for human movement analysis.https://www.cambridge.org/core/product/identifier/S2631717624000124/type/journal_articlegait balancecenter of massinertia measurement unitmotion capture system
spellingShingle Jasmine Y. Liang
Li-Shan Chou
Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
Wearable Technologies
gait balance
center of mass
inertia measurement unit
motion capture system
title Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
title_full Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
title_fullStr Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
title_full_unstemmed Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
title_short Center of mass acceleration during walking: comparison between IMU and camera-based motion capture methodologies
title_sort center of mass acceleration during walking comparison between imu and camera based motion capture methodologies
topic gait balance
center of mass
inertia measurement unit
motion capture system
url https://www.cambridge.org/core/product/identifier/S2631717624000124/type/journal_article
work_keys_str_mv AT jasmineyliang centerofmassaccelerationduringwalkingcomparisonbetweenimuandcamerabasedmotioncapturemethodologies
AT lishanchou centerofmassaccelerationduringwalkingcomparisonbetweenimuandcamerabasedmotioncapturemethodologies