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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

213 related items for PubMed ID: 34667207

  • 1. The accuracy of several pose estimation methods for 3D joint centre localisation.
    Needham L, Evans M, Cosker DP, Wade L, McGuigan PM, Bilzon JL, Colyer SL.
    Sci Rep; 2021 Oct 19; 11(1):20673. PubMed ID: 34667207
    [Abstract] [Full Text] [Related]

  • 2. Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm.
    Ota M, Tateuchi H, Hashiguchi T, Ichihashi N.
    Gait Posture; 2021 Mar 19; 85():290-297. PubMed ID: 33636458
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  • 3. Applications and limitations of current markerless motion capture methods for clinical gait biomechanics.
    Wade L, Needham L, McGuigan P, Bilzon J.
    PeerJ; 2022 Mar 19; 10():e12995. PubMed ID: 35237469
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  • 4. Differences between lower extremity joint running kinetics captured by marker-based and markerless systems were speed dependent.
    Tang H, Munkasy B, Li L.
    J Sport Health Sci; 2024 Jul 19; 13(4):569-578. PubMed ID: 38218372
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  • 5. The development and evaluation of a fully automated markerless motion capture workflow.
    Needham L, Evans M, Wade L, Cosker DP, McGuigan MP, Bilzon JL, Colyer SL.
    J Biomech; 2022 Nov 19; 144():111338. PubMed ID: 36252308
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  • 7. Comparing the accuracy of open-source pose estimation methods for measuring gait kinematics.
    Washabaugh EP, Shanmugam TA, Ranganathan R, Krishnan C.
    Gait Posture; 2022 Sep 19; 97():188-195. PubMed ID: 35988434
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  • 8. Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics-Part 2: Accuracy.
    Pagnon D, Domalain M, Reveret L.
    Sensors (Basel); 2022 Apr 01; 22(7):. PubMed ID: 35408326
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  • 11. Examination of 2D frontal and sagittal markerless motion capture: Implications for markerless applications.
    Wade L, Needham L, Evans M, McGuigan P, Colyer S, Cosker D, Bilzon J.
    PLoS One; 2023 Apr 01; 18(11):e0293917. PubMed ID: 37943887
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  • 13. On the reliability of single-camera markerless systems for overground gait monitoring.
    Boldo M, Di Marco R, Martini E, Nardon M, Bertucco M, Bombieri N.
    Comput Biol Med; 2024 Mar 01; 171():108101. PubMed ID: 38340440
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  • 14. Applications of markerless motion capture in gait recognition.
    Sandau M.
    Dan Med J; 2016 Mar 01; 63(3):. PubMed ID: 26931198
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  • 15. Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras.
    Nakano N, Sakura T, Ueda K, Omura L, Kimura A, Iino Y, Fukashiro S, Yoshioka S.
    Front Sports Act Living; 2020 Mar 01; 2():50. PubMed ID: 33345042
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  • 16. Estimating Ground Reaction Forces from Two-Dimensional Pose Data: A Biomechanics-Based Comparison of AlphaPose, BlazePose, and OpenPose.
    Mundt M, Born Z, Goldacre M, Alderson J.
    Sensors (Basel); 2022 Dec 21; 23(1):. PubMed ID: 36616676
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  • 17. Fatigue matters: An intense 10 km run alters frontal and transverse plane joint kinematics in competitive and recreational adult runners.
    Willwacher S, Sanno M, Brüggemann GP.
    Gait Posture; 2020 Feb 21; 76():277-283. PubMed ID: 31884254
    [Abstract] [Full Text] [Related]

  • 18. Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements.
    Song K, Hullfish TJ, Scattone Silva R, Silbernagel KG, Baxter JR.
    J Biomech; 2023 Aug 21; 157():111751. PubMed ID: 37552921
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  • 20. Concurrent assessment of gait kinematics using marker-based and markerless motion capture.
    Kanko RM, Laende EK, Davis EM, Selbie WS, Deluzio KJ.
    J Biomech; 2021 Oct 11; 127():110665. PubMed ID: 34380101
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