Validation of PITCHAI Markerless Motion Capture Using Gold Standard 3D Motion Capture
DOI:
https://doi.org/10.51224/SRXIV.101Keywords:
Kinematics, Baseball, Pitching, Motion CaptureAbstract
Kinematic assessments in baseball pitchers have previously been determined using marker-based motion capture systems. No current research exists on the feasibility of single camera markerless motion capture technology for kinematic pitching analysis. This study sought to compare and validate pitching kinematics (joint angles, summary metrics) from a markerless motion capture solution with a gold standard, 3D optical marker-based solution. 38 elite-level healthy pitchers threw 1-3 maximum effort pitches while concurrently using marker-based optical capture and pitchAITM smartphone based (markerless) motion capture. Measures were compared using Pearson's R (R), R Squared (r2), and root mean square error (RMSE). Kinematics were evaluated at foot plant, maximal shoulder external rotation, ball release, and for descriptive metrics. For full time-series angles, pelvis and trunk averaged r2 of 0.92, and 6.0 ± 1.1° of RMSE. Knee angles averaged an r2 of 0.87 ± 0.08, and 8.8 ± 3.6° of RMSE. Throwing arm averaged an r2 of 0.88 ± 0.03, and 12.3 ± 4.2° of RMSE. Glove arm averaged an r2 of 0.81 ± 0.09, and 14.1 ± 4.5° of RMSE. Most metrics were comparable to the gold standard. pitchAITM can be recommended as a markerless alternative to marker-based motion capture for pitching kinematic analysis.
Metrics
References
Barrentine, S. W., Matsuo, T., Escamilla, R. F., Fleisig, G. S., & Andrews, J. R. (1998). Kinematic analysis of the wrist and forearm during baseball pitching. Journal of Applied Biomechanics, 14(1), 24–39.
Birfer, R., Sonne, M. W., & Holmes, M. W. (2019). Manifestations of muscle fatigue in baseball pitchers: A systematic review. PeerJ, 7, e7390.
Birfer, R. (2019). “The Development of a Novel Pitching Assessment Tool. Brock University. MSc Thesis.
Boddy, K., Marsh, J., Caravan, A., Lindley, K., Scheffey, J., & O’Connell, M. (2019). Exploring wearable sensors as an alternative to marker-based motion capture in the pitching delivery. PeerJ, 7. https://doi.org/10.7717/peerj.6365
Brady, A., Briend, S., Caravan, A., Lindley, K., O'Connell, M. E., Gowdey, G., & Boddy, K. J. (2020, February 25). A Kinematic and Kinetic Comparison of Mound and Rocker Throws. https://doi.org/10.31236/osf.io/j2tvg
Cao, Z., Hidalgo Martinez, G., Simon, T., Wei, S. -E., & Sheikh, Y. A. (2019). OpenPose: RealTime Multi-Person 2D pose estimation using part affinity fields. IEEE transactions on pattern analysis and machine intelligence, 15, 1. https://doi.org/10.1109/TPAMI. 2019.2929257
Chen, C. H., and Ramanan, D. (2017). “3D human pose estimation= 2D pose estimation + matching,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (Honolulu, HI), 7035–7043. doi: 10.1109/CVPR.2017.610
Dillman, C. J., Fleisig, G. S., & Andrews, J. R. (1993). Biomechanics of Pitching With Emphasis Upon Shoulder Kinematics. Journal of Orthopaedic & Sports Physical Therapy, 18(2), 402–408. https://doi.org/10.2519/jospt.1993.18.2.402
Desmarais, Y., Mottet, D., Slangen, P., & Montesinos, P. (2021). A review of 3D human pose estimation algorithms for markerless motion capture. Computer Vision and Image Understanding, 103275.
Escamilla, R., Fleisig, G., Barrentine, S., Zheng, N., & Andrews, J. (1998). Kinematic Comparisons of Throwing Different Types of Baseball Pitches. Journal of Applied Biomechanics, 14, 1–23. https://doi.org/10.1123/jab.14.1.1
Fleisig, G. S., Andrews, J. R., Dillman, C. J., & Escamilla, R. F. (1995). Kinetics of baseball pitching with implications about injury mechanisms. The American journal of sports medicine, 23(2), 233-239.
Fleisig, G. S., Escamilla, R. F., Andrews, J. R., Matsuo, T., Satterwhite, Y., & Barrentine, S. W. (1996). Kinematic and Kinetic Comparison between Baseball Pitching and Football Passing. Journal of Applied Biomechanics, 12(2), 207–224. https://doi.org/10.1123/jab.12.2.207
Fleisig, G. S., Barrentine, S. W., Zheng, N., Escamilla, R. F., & Andrews, J. R. (1999). Kinematic and kinetic comparison of baseball pitching among various levels of development. Journal of biomechanics, 32(12), 1371-1375.
Fleisig, G., Chu, Y., Weber, A., & Andrews, J. (2009). Variability in baseball pitching biomechanics among various levels of competition. Sports Biomechanics, 8(1), 10–21. https://doi.org/10.1080/14763140802629958
Fleisig, G., Slowik, J. S., Wassom, D., Bishop, J., & Diffendaffer, A. Z. (2021). Comparison of Marker and Marker-less Automated Motion Capture for Baseball Pitching Biomechanics. ISBS Proceedings Archive, 39(1), 13.
Grantham WJ, Byram IR, Meadows MC, Ahmad CS. The Impact of Fatigue on the Kinematics of Collegiate Baseball Pitchers. Orthopaedic Journal of Sports Medicine. June 2014. doi:10.1177/2325967114537032
Gupta, V. (2019). Pose detection comparison: wrnchAI vs OpenPose. (April 15, 2020). https://www.learnopencv.com/pose-detectioncomparison-wrnchai-vs-openpose/
Ionescu, C., Papava, D., Olaru, V., & Sminchisescu, C. (2013). Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. IEEE transactions on pattern analysis and machine intelligence, 36(7), 1325-1339.
Kanko, R. M., Laende, E., Selbie, W. S., & Deluzio, K. J. (2021). Inter-session repeatability of markerless motion capture gait kinematics. Journal of Biomechanics, 121, 110422.
McKinnon, C. D., Sonne, M. W., & Keir, P. J. (2020). Assessment of Joint Angle and Reach Envelope Demands Using a Video-Based Physical Demands Description Tool. Human Factors, 0018720820951349. https://doi.org/10.1177/0018720820951349
Mündermann, L., Corazza, S. & Andriacchi, T.P. The evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications. J NeuroEngineering Rehabil 3, 6 (2006). https://doi.org/10.1186/1743-0003-3-6
Nakano, N., Sakura, T., Ueda, K., Omura, L., Kimura, A., Iino, Y., Fukashiro, S., & Yoshioka, S. (2020). Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras. Frontiers in Sports and Active Living, 2. https://doi.org/10.3389/fspor.2020.00050
Nicholls, R., Fleisig, G., Elliott, B., Lyman, S., & Osinski, E. (2003). Baseball: Accuracy of qualitative analysis for assessment of skilled baseball pitching technique. Sports Biomechanics, 2(2), 213–226.
Qiao, S., Wang, Y., & Li, J. (2017). Real-time human gesture grading based on OpenPose. Proceedings of the 10th International Congress in Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI).
Richards, J. G. (1999). The measurement of human motion: A comparison of commercially available systems. Human movement science, 18(5), 589-602.
Scarborough, D. M., Bassett, A. J., Mayer, L. W., & Berkson, E. M. (2020). Kinematic sequence patterns in the overhead baseball pitch. Sports biomechanics, 19(5), 569-586.
Seroyer, Shane T., et al. "The kinetic chain in overhand pitching: its potential role for performance enhancement and injury prevention." Sports health 2.2 (2010): 135-146.
Stodden, D. F., Fleisig, G. S., McLean, S. P., & Andrews, J. R. (2005). Relationship of Biomechanical Factors to Baseball Pitching Velocity: Within Pitcher Variation. Journal of Applied Biomechanics, 21(1), 44–56. https://doi.org/10.1123/jab.21.1.44
Tanaka, R., Takimoto, H., Yamasaki, T., & Higashi, A. (2018). Validity of time series kinematical data as measured by a markerless motion capture system on a flatland for gait assessment. Journal of biomechanics, 71, 281-285.
Thewlis, D., Bishop, C., Daniell, N., & Paul, G. (2013). Next-generation low-cost motion capture systems can provide comparable spatial accuracy to high-end systems. Journal of applied biomechanics, 29(1), 112-117.
Tian, Z. Z., Kyte, M. D., & Messer, C. J. (2002). Parallax error in video-image systems. Journal of Transportation Engineering, 128(3), 218-223.
Vafadar, S., Skalli, W., Bonnet-Lebrun, A., Khalifé, M., Renaudin, M., Hamza, A., & Gajny, L. (2021). A novel dataset and deep learning-based approach for marker-less motion capture during gait. Gait & Posture, 86, 70-76.
Veeger, H.E.J. (2000). The position of the rotation center of the glenohumeral joint. Journal of Biomechanics, 33, 1711-1715.
Werner, S. L., Fleisig, G. S., Dillman, C. J., & Andrews, J. R. (1993). Biomechanics of the Elbow During Baseball Pitching. Journal of Orthopaedic & Sports Physical Therapy, 17(6), 274–278. https://doi.org/10.2519/jospt.1993.17.6.274
Winter, D.A. (1990). Biomechanics and motor control of human movement. New York: Wiley Interscience.
Wu, G., Siegler, S., Allard, P., Kirtley, C., Leardini, A., Rosenbaum, D., Whittle, M., D'Lima, D. D., Cristofolini, L., Witte, H., Schmid, O., Stokes, I., ., & Standardization and Terminology Committee of the International Society of Biomechanics. (2002). ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. Journal of Biomechanics, 35, 543–548.
Wu, G., van der Helm, F. C. T., Veeger, H. E. J. D., Makhsous, M., Van Roy, P., Anglin, C., Nagels, J., Karduna, A. R., McQuade, K., Wang, X., Werner, F. W., Buchholz, B., ., & International Society of Biomechanics. (2005). ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. Journal of Biomechanics, 38, 981–992.
Yang J, Mann BJ, Guettler JH, et al. Risk-Prone Pitching Activities and Injuries in Youth Baseball: Findings From a National Sample. The American Journal of Sports Medicine. 2014;42(6):1456-1463. doi:10.1177/0363546514524699
Downloads
Posted
Versions
- 2022-02-25 (2)
- 2022-01-12 (1)
Categories
License
Copyright (c) 2022 Tyler Dobos, Ryan Bench, Mike Holmes, Colin McKinnon, Anthony Brady, Kyle Boddy, Michael Sonne
This work is licensed under a Creative Commons Attribution 4.0 International License.