Abstract

Research Article

C3D data based on 2-dimensional images from video camera

Ali Sharifnezhad*, Mina Abdollahzadekan, Mehdi Shafieian and Iman Sahafnejad-Mohammadi

Published: 13 January, 2021 | Volume 5 - Issue 1 | Pages: 001-005

The Human three-dimensional (3D) musculoskeletal model is based on motion analysis methods and can be obtained by particular motion capture systems that export 3D data with coordinate 3D (C3D) format. Unique cameras and specific software are essential for analyzing the data. This equipment is quite expensive, and using them is time-consuming. This research intends to use ordinary video cameras and open source systems to get 3D data and create a C3D format due to these problems. By capturing movements with two video cameras, marker coordination is obtainable using Skill-Spector. To create C3D data from 3D coordinates of the body points, MATLAB functions were used. The subject was captured simultaneously with both the Cortex system and two video cameras during each validation test. The mean correlation coefficient of datasets is 0.7. This method can be used as an alternative method for motion analysis due to a more detailed comparison. The C3D data collection, which we presented in this research, is more accessible and cost-efficient than other systems. In this method, only two cameras have been used.

Read Full Article HTML DOI: 10.29328/journal.abse.1001010 Cite this Article Read Full Article PDF

Keywords:

Musculoskeletal modeling; C3D; Motion analysis; Motion capture; Video-based; Matlab

References

  1. Leardini A, Belvedere C, Nardini F, Sancisi N, Conconi M, et al. Kinematic models of lower limb joints for musculo-skeletal modelling and optimization in gait analysis. J Biomechanics. 2017; 62: 77-86. PubMed: https://pubmed.ncbi.nlm.nih.gov/28601242/
  2. M W. Gait Analysis an introduction. 2007.
  3. Bartlett R. Introduction to sports biomechanics: Analysing human movement patterns: Routledge; 2014.
  4. Bjering B. Estimations of 3D velocities from a single camera view in ice hockey. 2019.
  5. Castro JG, Medina-Carnicer R, Galisteo AM. Design and evaluation of a new three-dimensional motion capture system based on video. Gait Posture. 2006; 24: 126-129. PubMed: https://pubmed.ncbi.nlm.nih.gov/16168656/
  6. Fern'ndez-Baena A, Susín A, Lligadas X, editors. Biomechanical validation of upper-body and lower-body joint movements of kinect motion capture data for rehabilitation treatments. 2012 fourth international conference on intelligent networking and collaborative systems. IEEE. 2012.
  7. org. 2016. https://www.c3d.org/c3ddocs.html/
  8. System CDFFUMbML. 2002 [Internet]. 2016. https://www.c3d.org/pdf/c3dformat\_ug.pdf
  9. Almashagbah EFM. Simple and efficient marker-based approach in human gait analysis using Gaussian mixture model. 2014.
  10. Wang L, Hu W, Tan T. Recent developments in human motion analysis. Pattern Recognition. 2003; 36: 585-601.
  11. Prakash C, Kumar R, Mittal N. Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges. Artificial Intelligence Review. 2018; 49: 1-40.
  12. Sigelman B. Video-Based Tracking of 3D Human Motion Using Multiple Cameras: Brown University Providence, Rhode Island; 2003.
  13. Adeli-Mosabbeb E, Fathy M, Zargari F. Model-based human gait tracking, 3D reconstruction and recognition in uncalibrated monocular video. Imaging Sci J. 2012; 60: 9-28.
  14. Abdel-Aziz Y, Karara H, Hauck M. Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Photogrammetric Engineering Remote Sensing. 2015; 81: 103-107.
  15. Miller E, Kaufman K, Kingsbury T, Wolf E, Wilken J, et al. Mechanical testing for three-dimensional motion analysis reliability. Gait Posture. 2016; 50: 116-119. PubMed: https://pubmed.ncbi.nlm.nih.gov/27592076/
  16. Payton CJ, Burden A. Biomechanical evaluation of movement in sport and exercise: the British Association of Sport and Exercise Sciences guide: Routledge. 2017.
  17. Chen L, Armstrong CW, Raftopoulos DD. An investigation on the accuracy of three-dimensional space reconstruction using the direct linear transformation technique. J Biomechanics. 1994; 27: 493-500. PubMed: https://pubmed.ncbi.nlm.nih.gov/8188729/
  18. com. http://video4coach.com/index.php.
  19. Kolahi A, Hoviattalab M, Rezaeian T, Alizadeh M, Bostan M, Mokhtarzadeh H. Design of a marker-based human motion tracking system. Biomedical Signal Processing and Control. 2007; 2: 59-67.
  20. Winter DA. Biomechanics and motor control of human gait: normal, elderly and pathological1991.
  21. Nordin M, Frankel VH. Basic biomechanics of the musculoskeletal system: Lippincott Williams & Wilkins; 2001.
  22. Gu X, Deligianni F, Lo B, Chen W, Yang G-Z, editors. Markerless gait analysis based on a single RGB camera. 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE. 2018.

Figures:

Figure 1

Figure 1

Figure 1

Figure 2

Figure 1

Figure 3

Figure 1

Figure 4

Figure 1

Figure 5

Similar Articles

  • C3D data based on 2-dimensional images from video camera
    Ali Sharifnezhad*, Mina Abdollahzadekan, Mehdi Shafieian and Iman Sahafnejad-Mohammadi Ali Sharifnezhad*,Mina Abdollahzadekan,Mehdi Shafieian,Iman Sahafnejad-Mohammadi. C3D data based on 2-dimensional images from video camera. . 2021 doi: 10.29328/journal.abse.1001010; 5: 001-005

Recently Viewed

  • Peripheral perfusion index in critically ill COVID-19 and its association with multiorgan dysfunction
    Cornu Matias German*, Tonelier Matias, Roel Pedro, Sanhueza Laura, Orozco Sergio Martin, Sepulveda Mariana Elizabet, Svampa Silvana Enrica and Arana Osorio Erick and Martinuzzi Andres Luciano Nicolas Cornu Matias German*, Tonelier Matias, Roel Pedro, Sanhueza Laura, Orozco Sergio Martin, Sepulveda Mariana Elizabet, Svampa Silvana Enrica, Arana Osorio Erick and Martinuzzi Andres Luciano Nicolas. Peripheral perfusion index in critically ill COVID-19 and its association with multiorgan dysfunction. J Clin Intensive Care Med. 2023: doi: 10.29328/journal.jcicm.1001043; 8: 004-013
  • Dalbavancin and moleculight in the COVID-19 pandemic
    Wayne J Caputo*, George Fahoury, Donald Beggs and Patricia Monterosa Wayne J Caputo*, George Fahoury, Donald Beggs, Patricia Monterosa. Dalbavancin and moleculight in the COVID-19 pandemic. J Clin Intensive Care Med. 2023: doi: 10.29328/journal.jcicm.1001042; 8: 001-003
  • Development of Latent Fingerprints Using Food Coloring Agents
    Kallu Venkatesh, Atul Kumar Dubey and Bhawna Sharma Kallu Venkatesh,Atul Kumar Dubey,Bhawna Sharma. Development of Latent Fingerprints Using Food Coloring Agents. J Forensic Sci Res. 2024: doi: 10.29328/journal.jfsr.1001070; 8: 104-107
  • Crime Scene Examination of Murder Case
    Subhash Chandra*, Pradeep KR, Jitendra P Kait, SK Gupta and Deepa Verma Subhash Chandra*,Pradeep KR,Jitendra P Kait,SK Gupta,Deepa Verma. Crime Scene Examination of Murder Case. J Forensic Sci Res. 2024: doi: 10.29328/journal.jfsr.1001071; 8: 108-110
  • Challenges and Concerns of Parents with Children with Down Syndrome
    . Challenges and Concerns of Parents with Children with Down Syndrome. Arch Psychiatr Ment Health. 2023: doi: 10.29328/journal.apmh.1001048; 7: 015-017

Read More

Most Viewed

Read More

Help ?