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Electrical Engineering

Markerless motion evaluation via OpenPose and fuzzy activity evaluator

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Pages 697-705 | Received 08 Nov 2021, Accepted 14 Jul 2022, Published online: 10 Oct 2022

References

  • Andersen, M.S., D. L. Benoit, M. Damsgaard, D. K. Ramsey, and J. Rasmussen. 2010. “Do Kinematic Models Reduce the Effects of Soft Tissue Artefacts in Skin Marker-Based Motion Analysis? an in Vivo Study of Knee Kinematics.” Journal of Biomechanics 43 (2): 268–273. doi:10.1016/j.jbiomech.2009.08.034.
  • Bahadori, S., P. Davenport, T. Immins, and T. W. Wainwright. 2019. “Validation of Joint Angle Measurements: Comparison of a Novel Low-Cost Marker-Less System with an Industry Standard Marker-Based.” Journal of Medical Engineering & Technology 43 (1): 19–24. doi:10.1080/03091902.2019.1599072.
  • Cao, Z., G. Hidalgo, T. Simon, S. E. Wei, and Y. Sheikh. 2017. “OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields.” Computer Vision and Pattern Recognition. doi:10.48500/arXiv.1812.08008.
  • Cappozzo, A., F. Catani, A. Leardini, M. G. Benedetti, and C. U. Della. 1996. “Position and Orientation in Space of Bones during Movement: Experimental Artefacts.” Clinical Biomechanics 11 (2): 90–100. doi:10.1016/0268-0033(95)00046-1.
  • Chang, Y.-J., S.-F. Chen, and J.-D. Huang. 2011. “A Kinect-Based System for Physical Rehabilitation: A Pilot Study for Young Adults with Motor Disabilities.” Research in Developmental Disabilities 32 (6): 2566–2570. doi:10.1016/j.ridd.2011.07.002.
  • Chen, T.-T., and T.-C. Su. 2017. “Fuzzy-Based Decision-Making Applied to Performance Evaluation in Value Engineering.” Journal of the Chinese Institute of Engineers 40 (3): 200–206. doi:10.1080/02533839.2017.1300071.
  • Chiari, L., C. U. Della, A. Leardini, and A. Cappozzo. 2005. “Human Movement Analysis Using Stereophotogrammetry. Part 2: Instrumental Errors.” Gait & Posture 21 (2): 197–211. doi:10.1016/j.gaitpost.2004.04.004.
  • Clark, R.A., Y.-H. Pua, A. L. Bryant, and M. A. Hunt. 2013. “Validity of the Microsoft Kinect for Providing Lateral Trunk Lean Feedback during Gait Retraining.” Gait & Posture 38 (4): 1064–1066. doi:10.1016/j.gaitpost.2013.03.029.
  • Corazza, S., L. Mündermann, A. M. Chaudhari, T. Demattio, C. Cobelli, and T. P. Andriacchi. 2006. “A Markerless Motion Capture System to Study Musculoskeletal Biomechanics: Visual Hull and Simulated Annealing Approach.” Annals Biomedical Engineering 34 (6): 1019–1029. doi:10.1007/s10439-006-9122-8.
  • Croce, U.D., A. Leardini, L. Chiari, and A. Cappozzo. 2005. “Human Movement Analysis Using Stereophotogrammetry. Part 4: Assessment of Anatomical Landmark Misplacement and Its Effects on Joint Kinematics.” Gait & Posture 21 (2): 226–237. doi:10.1016/j.gaitpost.2004.05.003.
  • Duprey, S., L. Cheze, and R. Dumas. 2010. “Influence of Joint Constraints on Lower Limb Kinematics Estimation from Skin Markers Using Global Optimization.” Journal of Biomechanics 43 (14): 2858–2862. doi:10.1016/j.jbiomech.2010.06.010.
  • Exell, T., C. Freeman, and K. Meadmore. 2013. “Goal Orientated Stroke Rehabilitation Utilising Electrical Stimulation, Iterative Learning and Microsoft Kinect.” In 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), Seattle, WA, USA, 24-26 June 2013: 1–6. New York: IEEE. 10.1109/ICORR.2013.6650493.
  • Fern’ndez-Baena, A., A. Susín, and X. Lligadas. 2012. “Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments.” In 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems. Bucharest, Romania, 19-21 September 2012: 656–661. New York: IEEE. 10.1109/iNCoS.2012.66.
  • Fuller, J., L.-J. Liu, M. C. Murphy, and R. W. Mann. 1997. “A Comparison of Lower-Extremity Skeletal Kinematics Measured Using Skin- and Pin-mounted Markers.” Human Movement Science 16 (2–3): 219–242. doi:10.1016/S0167-9457(96)00053-X.
  • Gama, A. D., T. Chaves, L. Figueiredo, and V. Teichrieb. 2012. “Guidance and Movement Correction Based on Therapeutics Movements for Motor Rehabilitation Support Systems.” In 2012 14th Symposium on Virtual and Augmented Reality. Rio de Janeiro, Brazil, 28-31 May 2012: 191–200. New York: IEEE. 10.1109/SVR.2012.15.
  • Lee, G. 2013. “Effects of Training Using Video Games on the Muscle Strength, Muscle Tone, and Activities of Daily Living of Chronic Stroke Patients.” Journal of Physical Therapy Science 25 (5): 595–597. doi:10.1589/jpts.25.595.
  • Lin, H.‐T., F.-C. Su, M. Nakamura, and Y. S. Chao. 2003. “Complex Chain of Momentum Transfer of Body Segments in the Baseball Pitching Motion.” Journal of the Chinese Institute of Engineers 26 (6): 861–868. doi:10.1080/02533839.2003.9670841.
  • Lu, T.W., and J. J. O’Connor. 1999. “Bone Position Estimation from Skin Marker Co-ordinates Using Global Optimisation with Joint Constraints.” Journal of Biomechanics 32 (2): 129–134. doi:10.1016/s0021-9290(98)00158-4.
  • Moeslund, T.B., and E. Granum. 2001. “A Survey of Computer Vision-Based Human Motion Capture.” Computer Vision and Image Understanding 81 (3): 231–268. doi:10.1006/cviu.2000.0897.
  • Mündermann, L., S. Corazza, and T. P. Andriacchi. 2006. “The Evolution of Methods for the Capture of Human Movement Leading to Markerless Motion Capture for Biomechanical Applications.” Journal of Neuroengineering and Rehabilitation 3 (1): 6. doi:10.1186/1743-0003-3-6.
  • Nakano, N., T. Sakura, K. Ueda, L. Omura, A. Kimura, Y. Iino, S. Fukashiro, and S. Yoshioka. 2020. “Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose with Multiple Video Cameras.” Frontiers in Sports and Active Living 2: 50. doi:10.3389/fspor.2020.00050.
  • Nambiar, A.M., P. L. Correia, and L. D. Soares. 2012. “Frontal Gait Recognition Combining 2D and 3D Data.” In MM&Sec ‘12: Proceedings of Multimedia and Security. Coventry, United Kingdom, 6 – 7 September 2012: 145–150. New York: Association for computing Machinery. 10.1145/2361407.2361432.
  • Ota, M., H. Tateuchi, T. Hashihuchi, T. Kato, Y. Ogino, M. Yamagata, and N. Ichihashi. 2020. “Verification of Reliability and Validity of Motion Analysis Systems during Bilateral Squat Using Human Pose Tracking Algorithm.” Gait & Posture 80: 62–67. doi:10.1016/j.gaitpost.2020.05.027.
  • Pastor, I., H. A. Hayes, and S. J. Bamberg. 2012. “A Feasibility Study of an Upper Limb Rehabilitation System Using Kinect and Computer Games.” In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. San Diego, CA, USA, 28 August - 01 August - 01 September 2012: 1286–1289. New York: IEEE. 10.1109/EMBC.2012.6346173.
  • Pfister, A., A. M. West, S. Bronner, and J. A. Noah. 2014. “Comparative Abilities of Microsoft Kinect and Vision 3D Motion Capture for Gait Analysis.” Journal of Medical Engineering & Technology 38 (5): 274–280. doi:10.3109/03091902.2014.909540.
  • Raptis, M., D. Kirovski, and H. Hoppe. 2001. “Real-Time Classification of Dance Gestures from Skeleton Animation.” In SCA’11: Proceedings of the 2011 ACM SIGGRAPH/ Eurographics Symposium on Computer Animation. Vancouver, British Columbia, Canada, 5 – 7 August 2011: 147–156. New York: Association for computing Machinery. 10.1145/2019406.2019426.
  • Sin, H., and G. Lee. 2013. “Additional Virtual Reality Training Using Xbox Kinect in Stroke Survivors with Hemiplegia.” American Journal of Physical and Medicine Rehabilitation 92 (10): 871–880. doi:10.1097/PHM.0b013e3182a38e40.
  • Stagni, R., S. Fantozzi, and A. Cappello. 2009. “Double Calibration Vs. Global Optimisation: Performance and Effectiveness for Clinical Application.” Gait & Posture 29 (1): 119–122. doi:10.1016/j.gaitpost.2008.07.008.
  • Stone, E., and M. Skubic. 2011. “Evaluation of an Inexpensive Depth Camera for In-Home Gait Assessment.” Journal of Ambient Intelligence and Smart Environments 3 (4): 349–361. doi:10.3233/AIS-2011-0124.
  • Takeda, I., A. Yamada, and H. Onodera. 2020. “Artificial Intelligence-Assisted Motion Capture for Medical Applications: A Comparative Study between Markerless and Passive Marker Motion Capture.” Computer Methods in Biomechanics and Biomedical Engineering 24 (8): 864–873. doi:10.1080/10255842.2020.1856372.
  • Taylor, W.R., R. M. Ehrig, G. N. Duda, H. Schell, P. Seebeck, and M. O. Heller. 2005. “On the Influence of Soft Tissue Coverage in the Determination of Bone Kinematics Using Skin Markers.” Journal of Orthopaedic Research 23 (4): 726–734. doi:10.1016/j.orthres.2005.02.006.
  • Zago, M., M. Luzzago, T. Marangoni, C. M. De, M. Tarabini, and M. Galli. 2020. “3D Tracking of Human Motion Using Visual Skeletonization and Stereoscopic Vision.” Frontiers in Bioengineering and Biotechnology 8: 181. doi:10.3389/fbioe.2020.00181.
  • Zhou, H., and H. Hu. 2008. “Human Motion Tracking for Rehabilitation – A Survey.” Biomedical Signal Processing and Control 3 (1): 1–18. doi:10.1016/j.bspc.2007.09.001.

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