Method of cutting phases of motion while rowing on the ergometer based on three-dimensional motion
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Dec 30, 2017
Issue Vol. 5 (2017)
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Method of cutting phases of motion while rowing on the ergometer based on three-dimensional motion
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DOI
Authors
Kacper Kowalczyk
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Maria Skublewska-Paszkowska
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland, Poland
Abstract
The article presents both the methods of data modification of motion capture data in C3D file format, and the analysis of the modification of motion capture data using implemented application. The application is used to load C3D files with recorded motion and to automatic cut of the repeating, similar sequences of recorded motion. The analysis was conducted in terms of comparing received cut phases of motion. Study include cases such as length of particular phases, maximum and minimum distance between examined markers and comparison of start and final motion frames.
Keywords:
Motion Capture, C3D File, 3D Motion Analysis
References
[1] Tobon R.: The Mocap Book: A Practical Guide to the Art of Motion Capture, 2010
[2] https://www.c3d.org/, 2016 [3] The C3D File Format User Guide, https://www.c3d.org/pdf/c3dformat_ug.pdf, 2008
[4] Baumann J., Krüger B., Zinke A., Weber A.: Data-Driven Completion of Motion Capture Data, 2011
[5] Carnegie Mellon University Motion Capture Database, http://mocap.cs.cmu.edu/, 2004
[6] Documentation: Mocap Database HDM05, http://resources.mpi-inf.mpg.de/HDM05, 2007
[7] Herda L.: Skeleton-based motion capture for robust reconstruction of human motion, 2000
[8] Dorfmüller-Ulhaas K.: Robust Optical User Motion Tracking Using a Kalman Filter, 2007
[9] Li L., McCann J., Pollard N., Faloutsos C.: BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling, 2010
[10] Xiao J., Feng Y., Hu W.: Predicting missing markers in human motion capture using l1-sparse representation, 2011
[11] C3D.NET, https://c3d.codeplex.com/, 2014
[12] Barrea A., Armand S: Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data, 2014
[13] Plug-In Gait Model Details, https://www.vicon.com/downloads/documentation/vicondocumentation/plug-in-gait-model-details, 2017
[2] https://www.c3d.org/, 2016 [3] The C3D File Format User Guide, https://www.c3d.org/pdf/c3dformat_ug.pdf, 2008
[4] Baumann J., Krüger B., Zinke A., Weber A.: Data-Driven Completion of Motion Capture Data, 2011
[5] Carnegie Mellon University Motion Capture Database, http://mocap.cs.cmu.edu/, 2004
[6] Documentation: Mocap Database HDM05, http://resources.mpi-inf.mpg.de/HDM05, 2007
[7] Herda L.: Skeleton-based motion capture for robust reconstruction of human motion, 2000
[8] Dorfmüller-Ulhaas K.: Robust Optical User Motion Tracking Using a Kalman Filter, 2007
[9] Li L., McCann J., Pollard N., Faloutsos C.: BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling, 2010
[10] Xiao J., Feng Y., Hu W.: Predicting missing markers in human motion capture using l1-sparse representation, 2011
[11] C3D.NET, https://c3d.codeplex.com/, 2014
[12] Barrea A., Armand S: Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data, 2014
[13] Plug-In Gait Model Details, https://www.vicon.com/downloads/documentation/vicondocumentation/plug-in-gait-model-details, 2017
Article Details
Kowalczyk, K., & Skublewska-Paszkowska, M. (2017). Method of cutting phases of motion while rowing on the ergometer based on three-dimensional motion . Journal of Computer Sciences Institute, 5, 155–158. https://doi.org/10.35784/jcsi.614
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