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

被引:0
|
作者
Liang, Jasmine Y. [1 ]
Chou, Li-Shan [1 ]
机构
[1] Iowa State Univ, Dept Kinesiol, Ames, IA 50011 USA
来源
WEARABLE TECHNOLOGIES | 2024年 / 5卷
关键词
gait balance; center of mass; inertia measurement unit; motion capture system; GAIT BALANCE CONTROL; STABILITY;
D O I
10.1017/wtc.2024.12
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Mobile User Identification by Camera-Based Motion Capture and Mobile Device Acceleration Sensors
    Kosono, Ryota
    Nishio, Takayuki
    Morikura, Masahiro
    Yamamoto, Koji
    Maki, Yuichi
    Goda, Takuya
    Matsukawa, Hisashi
    Indo, Takuya
    PROCEEDINGS OF THE 13TH WORKSHOP ON CHALLENGED NETWORKS (CHANTS'18), 2018, : 25 - 31
  • [2] Symmetry comparison between sacrum and center of mass during walking
    Motlagh, Fateme Navvab
    Arshi, Ahmed Reza
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2016, 230 (07) : 682 - 689
  • [3] MARKER CENTER ESTIMATION ALGORITHMS IN CCD CAMERA-BASED MOTION ANALYSIS
    JOBBAGY, A
    FURNEE, EH
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1994, 32 (01) : 85 - 91
  • [4] Measuring joint kinematics of treadmill walking and running: Comparison between an inertial sensor based system and a camera-based system
    Nuesch, Corina
    Roos, Elena
    Pagenstert, Geert
    Mundermann, Annegret
    JOURNAL OF BIOMECHANICS, 2017, 57 : 32 - 38
  • [5] Reduced center of mass acceleration during regular walking with electromyography biofeedback
    Kibushi, Benio
    Maekaku, Kei
    Kimura, Tetsuya
    GAIT & POSTURE, 2024, 108 : 335 - 340
  • [6] Effect of age on center of mass motion during human walking
    Hernandez, Antonio
    Silder, Amy
    Heiderscheit, Bryan C.
    Thelen, Darryl G.
    GAIT & POSTURE, 2009, 30 (02) : 217 - 222
  • [7] Comparison of kinematic and kinetic methods for computing the vertical motion of the body center of mass during walking
    Gard, SA
    Miff, SC
    Kuo, AD
    HUMAN MOVEMENT SCIENCE, 2004, 22 (06) : 597 - 610
  • [8] A Drone-mounted Depth Camera-based Motion Capture System for Sports Performance Analysis
    Jacobsson, Martin
    Willen, Jonas
    Swaren, Mikael
    ARTIFICIAL INTELLIGENCE IN HCI, AI-HCI 2023, PT II, 2023, 14051 : 489 - 503
  • [9] Comparison of body's center of mass motion relative to center of pressure between treadmill and over-ground walking
    Lu, Hsuan-Lun
    Lu, Tung-Wu
    Lin, Hsiu-Chen
    Chan, Wing P.
    GAIT & POSTURE, 2017, 53 : 248 - 253
  • [10] Center of mass approximation during walking as a function of trunk and swing leg acceleration
    Betker, A. L.
    Szturm, T.
    Moussavi, Z.
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 9 - 12