Markerless measurement techniques for motion analysis in sports science
DOI:
https://doi.org/10.14232/analecta.2023.2.24-31Keywords:
markerless measurement, motion analysis, biomechanicsAbstract
Markerless motion capture system and X-ray fluoroscopy as two markerless measurement systems were introduced to the application method in sports biomechanical areas. An overview of the technological process, data accuracy, suggested movements, and recommended body parts were explained. The markerless motion capture system consists of four parts: camera, body model, image feature, and algorithms. Even though the markerless motion capture system seems promising, it is not yet known whether these systems can be used to achieve the required accuracy and whether they can be appropriately used in sports biomechanics and clinical research. The biplane fluoroscopy technique analyzes motion data by collecting, image calibrating, and processing, which is effective for determining small joint kinematic changes and calculating joint angles. The method was used to measure walking and jumping movements primarily because of the experimental conditions and mainly to detect the data of lower limb joints.
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R. Shultz, A.E. Kedgley, T.R. Jenkyn, Quantifying skin motion artifact error of the hindfoot and forefoot marker clusters with the optical tracking of a multi-segment foot model using single-plane fluoroscopy, Gait & posture, 34 (1) (2011), pp. 44-48.
A. Peters, B. Galna, M. Sangeux, M. Morris, R. Baker, Quantification of soft tissue artifact in lower limb human motion analysis: a systematic review, Gait & posture, 31 (1) (2010), pp. 1-8.
J. M. Iaquinto, R. Tsai, D. R. Haynor, M. J. Fassbind, B. J. Sangeorzan, W. R. Ledoux, Marker-based validation of a biplane fluoroscopy system for quantifying foot kinematics, Medical engineering & physics, 36 (3) (2014), pp. 391-396.
S. L. Colyer, M. Evans, D. P. Cosker, A. I. T. Salo, A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System, Sports Med Open, 4 (1) (2018), pp. 24.
S. X. M. Yang, M. S. Christiansen, P. K. Larsen, T. Alkjær, T. B. Moeslund, E. B. Simonsen, N. Lynnerup, Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2 (1) (2014), pp. 46-65.
C. Stoll, N. Hasler, J. Gall, H. Seidel, C. Theobalt, Fast articulated motion tracking using a sums of gaussians body model, 2011 International Conference on Computer Vision, IEEE, November 2011, pp. 951-958.
S. Corazza, L. Mündermann, E. Gambaretto, G. Ferrigno, T. P. Andriacchi, Markerless motion capture through visual hull, articulated icp and subject specific model generation, International journal of computer vision, 87 (1) (2010), pp. 156-169.
S. Corazza, L. Muendermann, A. M. Chaudhari, A markerless motion capture system to study musculoskeletal biomechanics: visual hull and simulated annealing approach, Annals of biomedical engineering, 34 (6) (2006), pp. 1019-1029.
C. Hong, J. Yu, Y. Xie, X. Chen, Multi-view deep learning for image-based pose recovery[C]//2015 IEEE 16th International Conference on Communication Technology (ICCT), IEEE, October 2015, pp. 897-902.
A. E. Kedgley, T. R. Jenkyn, RSA calibration accuracy of a fluoroscopy‐based system using nonorthogonal images for measuring functional kinematics, Medical physics, 36 (7) (2009), pp. 3176-3180.
E. Ceseracciu, Z. Sawacha, C. Cobelli, Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept, PloS one, 9 (3) (2014), pp. e87640.
A. Schmitz, M. Ye, R. Shapiro, R. Yang, B. Noehren, Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system, Journal of biomechanics, 47 (2) (2014), pp. 587-591.
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