The Validity and Usability of Markerless Motion Capture and Inertial Measurement Units for Quantifying Dynamic Movements

被引:0
|
作者
Edwards, Nathan a. [1 ,2 ]
Caccese, Jaclyn b. [1 ,2 ]
Tracy, Ryan e. [2 ]
Hagen, Joshua [1 ,2 ,3 ]
Quatman-yates, Catherine c. [2 ]
Onate, James [1 ,2 ]
机构
[1] Ohio State Univ, Human Performance Collaborat, Columbus, OH USA
[2] Ohio State Univ, Sch Hlth & Rehabil Sci, Columbus, OH USA
[3] Ohio State Univ, Integrated Syst Engn, Columbus, OH USA
关键词
BIOMECHANICS; KINEMATICS; MOTION ANALYSIS; MOVEMENT ASSESSMENT; WEARABLE SENSORS; JOINT COORDINATE SYSTEM; ISB RECOMMENDATION; CENTER LOCATION; LOWER-EXTREMITY; GAIT; HIP; RELIABILITY; KNEE; DEFINITIONS; PERFORMANCE;
D O I
10.1249/MSS.0000000000003579
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
PurposeMotion capture technology is quickly evolving, providing researchers, clinicians, and coaches with more access to biomechanics data. Markerless motion capture and inertial measurement units (IMUs) are continually developing biomechanics tools that need validation for dynamic movements before widespread use in applied settings. This study evaluated the validity of a markerless motion capture, IMU, and red, green, blue, and depth (RGBD) camera system as compared with marker-based motion capture during countermovement jumps, overhead squats, lunges, and runs with cuts.MethodsThirty adults were recruited for this study (sex: 18 females, 12 males; age: 25.4 +/- 8.6 yrs; height: 1.71 +/- 0.08 m; weight: 71.6 +/- 11.5 kg). Data were collected simultaneously with four motion capture technologies (i.e., Vicon, marker-based; Theia/Optitrack, markerless; APDM Opals, IMUs; and Vald HumanTrak, RGBD camera). System validity for lower and upper body joint angles was evaluated using bias, root mean squared error (RMSE), precision, maximum absolute error, and intraclass correlation coefficients. System usability was descriptively analyzed.ResultsOverall, markerless motion capture had the highest validity (sagittal plane RMSE: 3.20 degrees-15.66 degrees; frontal plane RMSE: 2.12 degrees-9.14 degrees; transverse plane RMSE: 3.160 degrees-56.61 degrees), followed by the IMU system (sagittal plane RMSE: 8.11 degrees-28.37 degrees; frontal plane RMSE: 3.26 degrees-16.98 degrees; transverse plane RMSE: 5.08 degrees-116.75 degrees), and lastly the RGBD system (sagittal plane bias: 0.55 degrees-129.48 degrees; frontal plane bias: 1.35 degrees-52.06 degrees).ConclusionsMarkerless motion capture and IMUs have moderate validity for joint kinematics, whereas the RGBD system did not have adequate validity. Markerless systems have lower data processing time, require moderate technical expertise, but have high data storage size. IMUs are easier to use, can collect data in any location, but require participant set-up. Overall, individuals using motion capture should consider the specific movements, testing locations, and technical expertise available before selecting a system.
引用
收藏
页码:641 / 655
页数:15
相关论文
共 50 条
  • [21] Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses
    Pfau, Thilo
    Landsbergen, Kiki
    Davis, Brittany L.
    Kenny, Olivia
    Kernot, Nicole
    Rochard, Nina
    Porte-Proust, Marion
    Sparks, Holly
    Takahashi, Yuji
    Toth, Kasara
    Scott, W. Michael
    SENSORS, 2023, 23 (20)
  • [22] Concurrent Validity Of Inertial Measurement Units With 3D Motion Analysis System For Joint Kinematics
    Balardi, Kathryn
    Johnson, Michael
    Ross, Jaclyn
    Chinworth, Susan
    Vallabhajosula, Srikant
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2021, 53 (08): : 130 - 131
  • [23] The validity of using inertial measurement units to monitor the torso and pelvis sagittal plane motion of elite rowers
    Brice, Sara M.
    Millett, Emma L.
    Philippa, Bronson
    JOURNAL OF SPORTS SCIENCES, 2022, 40 (08) : 950 - 958
  • [24] The research of motion capture technology based on inertial measurement
    Feng, Bo
    Zhang, Xianggang
    Zhao, Huilong
    2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC), 2013, : 238 - 243
  • [25] Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision
    Lavikainen, Jere
    Vartiainen, Paavo
    Stenroth, Lauri
    Karjalainen, Pasi A.
    Korhonen, Rami K.
    Liukkonen, Mimmi K.
    Mononen, Mika E.
    DATA IN BRIEF, 2024, 56
  • [26] Validity and repeatability of inertial measurement units for measuring gait parameters
    Washabaugh, Edward P.
    Kalyanaraman, Tarun
    Adamczyk, Peter G.
    Claflin, Edward S.
    Krishnan, Chandramouli
    GAIT & POSTURE, 2017, 55 : 87 - 93
  • [27] Quantifying shoulder motion in the free-living environment using wearable inertial measurement units: Challenges and recommendations
    Cain, Stephen M.
    Morrow, Melissa M. B.
    JOURNAL OF BIOMECHANICS, 2025, 182
  • [28] Validity of the Perception Neuron inertial motion capture system for upper body motion analysis
    Sers, Ryan
    Forrester, Steph
    Moss, Esther
    Ward, Stephen
    Ma, Jianjia
    Zecca, Massimiliano
    MEASUREMENT, 2020, 149
  • [29] Proposal for Post Hoc Quality Control in Instrumented Motion Analysis Using Markerless Motion Capture: Development and Usability Study
    Roehling, Hanna Marie
    Althoff, Patrik
    Arsenova, Radina
    Drebinger, Daniel
    Gigengack, Norman
    Chorschew, Anna
    Kroneberg, Daniel
    Roennefarth, Maria
    Ellermeyer, Tobias
    Rosenkranz, Sina Catherine
    Heesen, Christoph
    Behnia, Behnoush
    Hirano, Shigeki
    Kuwabara, Satoshi
    Paul, Friedemann
    Brandt, Alexander Ulrich
    Schmitz-Huebsch, Tanja
    JMIR HUMAN FACTORS, 2022, 9 (02):
  • [30] RELIABILITY AND VALIDITY OF THE SINGLE-CAMERA MARKERLESS MOTION CAPTURE SYSTEM FOR MEASURING SHOULDER RANGE-OF-MOTION
    Lee, Seunghoon
    Lee, Suji
    Lee, Hungu
    Kim, Yohwan
    OSTEOARTHRITIS AND CARTILAGE, 2024, 32 : S233 - S233