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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

116 related items for PubMed ID: 38980775

  • 1. Anatomical-Marker-Driven 3D Markerless Human Motion Capture.
    Jatesiktat P, Lim GM, Lim WS, Ang WT.
    IEEE J Biomed Health Inform; 2024 Jul 09; PP():. PubMed ID: 38980775
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  • 2. Marker Data Enhancement For Markerless Motion Capture.
    Falisse A, Uhlrich SD, Chaudhari AS, Hicks JL, Delp SL.
    bioRxiv; 2024 Jul 17. PubMed ID: 39071421
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  • 3. A Deep Learning Model for Markerless Pose Estimation Based on Keypoint Augmentation: What Factors Influence Errors in Biomechanical Applications?
    Ruescas-Nicolau AV, Medina-Ripoll E, de Rosario H, Sanchiz Navarro J, Parrilla E, Juan Lizandra MC.
    Sensors (Basel); 2024 Mar 17; 24(6):. PubMed ID: 38544186
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  • 4. Multimodal human motion dataset of 3D anatomical landmarks and pose keypoints.
    Ruescas-Nicolau AV, Medina-Ripoll EJ, Parrilla Bernabé E, de Rosario Martínez H.
    Data Brief; 2024 Apr 17; 53():110157. PubMed ID: 38375138
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  • 5. DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors.
    Chatzitofis A, Zarpalas D, Kollias S, Daras P.
    Sensors (Basel); 2019 Jan 11; 19(2):. PubMed ID: 30642017
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  • 6. 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 Jan 11; 2():50. PubMed ID: 33345042
    [Abstract] [Full Text] [Related]

  • 7. Markerless motion capture: What clinician-scientists need to know right now.
    Ito N, Sigurðsson HB, Seymore KD, Arhos EK, Buchanan TS, Snyder-Mackler L, Silbernagel KG.
    JSAMS Plus; 2022 Oct 11; 1():. PubMed ID: 36438718
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  • 8. Accuracy of a 3D temporal scanning system for gait analysis: Comparative with a marker-based photogrammetry system.
    Ruescas Nicolau AV, De Rosario H, Basso Della-Vedova F, Parrilla Bernabé E, Juan MC, López-Pascual J.
    Gait Posture; 2022 Sep 11; 97():28-34. PubMed ID: 35868094
    [Abstract] [Full Text] [Related]

  • 9. A novel dataset and deep learning-based approach for marker-less motion capture during gait.
    Vafadar S, Skalli W, Bonnet-Lebrun A, Khalifé M, Renaudin M, Hamza A, Gajny L.
    Gait Posture; 2021 May 11; 86():70-76. PubMed ID: 33711613
    [Abstract] [Full Text] [Related]

  • 10. Validation of OpenCap: A low-cost markerless motion capture system for lower-extremity kinematics during return-to-sport tasks.
    Turner JA, Chaaban CR, Padua DA.
    J Biomech; 2024 Jun 11; 171():112200. PubMed ID: 38905926
    [Abstract] [Full Text] [Related]

  • 11. An Efficient 3D Human Pose Retrieval and Reconstruction from 2D Image-Based Landmarks.
    Yasin H, Krüger B.
    Sensors (Basel); 2021 Apr 01; 21(7):. PubMed ID: 33915719
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  • 16. MacaquePose: A Novel "In the Wild" Macaque Monkey Pose Dataset for Markerless Motion Capture.
    Labuguen R, Matsumoto J, Negrete SB, Nishimaru H, Nishijo H, Takada M, Go Y, Inoue KI, Shibata T.
    Front Behav Neurosci; 2020 Apr 01; 14():581154. PubMed ID: 33584214
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  • 18. 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
    [Abstract] [Full Text] [Related]

  • 19. 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
    [Abstract] [Full Text] [Related]

  • 20. Assessment of deep learning pose estimates for sports collision tracking.
    Blythman R, Saxena M, Tierney GJ, Richter C, Smolic A, Simms C.
    J Sports Sci; 2022 Sep 11; 40(17):1885-1900. PubMed ID: 36093680
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