Naar de inhoud springen

Accuracy of human motion capture systems for sport applications

Home
Chart and data
Measurement systems
Article
Contribute
Authors

Article

Accuracy of human motion capture systems for sport applications (download)

Dit delen:

Twitter
Facebook

Vind ik leuk:

Like Laden...

References

Akman, O. (2012). Robust augmented reality. TU Delft, Delft University of Technology.

Bader, J. (2011). Validation of a dynamic calibration method for video supported movement analysis. Unpublished Master’s Thesis). Technische Universitat, Munchen.

Begon, M., Colloud, F., Fohanno, V., Bahuaud, P., & Monnet, T. (2009). Computation of the 3D kinematics in a global frame over a 40 m-long pathway using a rolling motion analysis system. Journal of Biomechanics, 42(16), 2649–2653. http://doi.org/10.1016/j.jbiomech.2009.08.020

Berber, M., Ustun, A., & Yetkin, M. (2012). Comparison of accuracy of GPS techniques. Measurement: Journal of the International Measurement Confederation, 45(7), 1742–1746. http://doi.org/10.1016/j.measurement.2012.04.010

Bischoff, O., Heidmann, N., Rust, J., & Paul, S. (2012). Design and implementation of an ultrasonic localization system for wireless sensor networks using angle-of-arrival and distance measurement. Procedia Engineering, 47, 953–956. http://doi.org/10.1016/j.proeng.2012.09.304

Bonnechere, B., Jansen, B., Salvia, P., Bouzahouene, H., Omelina, L., Moiseev, F., … Jan, S. V. S. (2014). Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry. Gait & Posture, 39(1), 593–598.

Brodie, M., Walmsley, A., & Page, W. (2008). Dynamic accuracy of inertial measurement units during simple pendulum motion: Technical Note. Computer Methods in Biomechanics and Biomedical Engineering, 11(3), 235–242.

Brodie, M., Walmsley, A., & Page, W. (2008). Fusion motion capture : a prototype system using inertial measurement units and GPS for the biomechanical analysis of ski racing Research Article. Sports Technology, 1(1), 17–28. http://doi.org/10.1002/jst.6

Ceseracciu, E., Sawacha, Z., Fantozzi, S., Cortesi, M., Gatta, G., Corazza, S., & Cobelli, C. (2011). Markerless analysis of front crawl swimming. Journal of Biomechanics, 44(12), 2236–2242. http://doi.org/10.1016/j.jbiomech.2011.06.003

Choppin, S., Lane, B., & Wheat, J. (2014). The accuracy of the Microsoft Kinect in joint angle measurement. Sports Technology, 7(1–2), 98–105.

Colloud, F., Chèze, L., André, N., & Bahuaud, P. (2008). An innovative solution for 3d kinematics measurement for large volumes. Journal of Biomechanics, 41, S57.

Corazza, S., Mündermann, L., Gambaretto, E., Ferrigno, G., & Andriacchi, T. P. (2010). Markerless motion capture through visual hull, articulated icp and subject specific model generation. International Journal of Computer Vision, 87(1), 156–169.

Day, J. S., Dumas, G. a., & Murdoch, D. J. (1998). Evaluation of a long-range transmitter for use with a magnetic tracking device in motion analysis. Journal of Biomechanics, 31(10), 957–961. http://doi.org/10.1016/S0021-9290(98)00089-X

Duffield, R., Reid, M., Baker, J., & Spratford, W. (2010). Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. Journal of Science and Medicine in Sport, 13(5), 523–525.

Dutta, T. (2012). Evaluation of the Kinect sensor for 3-D kinematic measurement in the workplace. Applied Ergonomics, 43(4), 645–649. http://doi.org/10.1016/j.apergo.2011.09.011

Gilgien, M., Spörri, J., Limpach, P., Geiger, A., & Müller, E. (2014). The effect of different Global Navigation Satellite System methods on positioning accuracy in elite alpine skiing. Sensors, 14(10), 18433–18453.

Hedley, M., Mackintosh, C., Shuttleworth, R., Humphrey, D., Sathyan, T., & Ho, P. (2010). Wireless tracking system for sports training indoors and outdoors. Procedia Engineering, 2(2), 2999–3004. http://doi.org/10.1016/j.proeng.2010.04.101

Hedley, M., Sathyan, T., & MacKintosh, C. (2011). Improved wireless tracking for indoor sports. Procedia Engineering, 13, 439–444. http://doi.org/10.1016/j.proeng.2011.05.111

HumanEva. (2017). HumanEva.

Kersting, U. G., Kurpiers, N., Darlow, B. J. S., & Nolte, V. W. (2008). Three-dimensional assessment of on water rowing technique: a methodological study. In ISBS-Conference Proceedings Archive (Vol. 1).

Khoury, H. M., & Kamat, V. R. (2009). Evaluation of position tracking technologies for user localization in indoor construction environments. Automation in Construction. http://doi.org/10.1016/j.autcon.2008.10.011

Klous, M., Müller, E., & Schwameder, H. (2010). Collecting kinematic data on a ski/snowboard track with panning, tilting, and zooming cameras: is there sufficient accuracy for a biomechanical analysis? Journal of Sports Sciences, 28(12), 1345–1353. http://doi.org/10.1080/02640414.2010.507253

Lee, J. B., Burkett, B. J., Thiel, D. V., & James, D. A. (2011). Inertial sensor, 3D and 2D assessment of stroke phases in freestyle swimming. Procedia Engineering, 13, 148–153.

Lee, J. B., Ohgi, Y., & James, D. a. (2012). Sensor fusion: Let’s enhance the performance of performance enhancement. Procedia Engineering. http://doi.org/10.1016/j.proeng.2012.04.136

Liu, G., Tang, X., Cheng, H. D., Huang, J., & Liu, J. (2009). A novel approach for tracking high speed skaters in sports using a panning camera. Pattern Recognition, 42(11), 2922–2935. http://doi.org/10.1016/j.patcog.2009.03.022

Lluna, E., Santiago, V., Defez, B., Dunai, L., & Peris-Fajarnes, G. (2011). Velocity vector (3D) measurement for spherical objects using an electro-optical device. Measurement: Journal of the International Measurement Confederation, 44(9), 1723–1729. http://doi.org/10.1016/j.measurement.2011.07.006

Maletsky, L. P., Sun, J., & Morton, N. a. (2007). Accuracy of an optical active-marker system to track the relative motion of rigid bodies. Journal of Biomechanics, 40(3), 682–685. http://doi.org/10.1016/j.jbiomech.2006.01.017

Monnet, T., Samson, M., Bernard, A., David, L., & Lacouture, P. (2014). Measurement of three-dimensional hand kinematics during swimming with a motion capture system: a feasibility study. Sports Engineering, 3(17), 171–181.

Neuron, P. (2017). https://neuronmocap.com/.

Nikon. (2017). https://www.nikonmetrology.com/en-gb/product/igps.

Ogris, G., Leser, R., Horsak, B., Kornfeind, P., Heller, M., & Baca, A. (2012). Accuracy of the LPM tracking system considering dynamic position changes. Journal of Sports Sciences, 30(14), 1503–1511.

Panjkota, A., Stancic, I., & Supuk, T. (2009). Outline of a qualitative analysis for the human motion in case of ergometer rowing. In WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering. WSEAS.

Perrat, B., Smith, M. J., Mason, B. S., Rhodes, J. M., & Goosey-Tolfrey, V. L. (2015). Quality assessment of an Ultra-Wide Band positioning system for indoor wheelchair court sports. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 229(2), 81–91.

Rhodes, J., Mason, B., Perrat, B., Smith, M., & Goosey-Tolfrey, V. (2014). The validity and reliability of a novel indoor player tracking system for use within wheelchair court sports. Journal of Sports Sciences, 32(17), 1639–1647.

Richards, J. G. (1999). The measurement of human motion: A comparison of commercially available systems. Human Movement Science, 18(5), 589–602. http://doi.org/10.1016/S0167-9457(99)00023-8

Sathyan, T., Shuttleworth, R., Hedley, M., & Davids, K. (2012). Validity and reliability of a radio positioning system for tracking athletes in indoor and outdoor team sports. Behavior Research Methods, 44(4), 1108–1114.

Scaramuzza, D., & Fraundorfer, F. (2011). Visual odometry [tutorial]. IEEE Robotics & Automation Magazine, 18(4), 80–92.

Schepers, H. M., & Veltink, P. H. (2010). Stochastic magnetic measurement model for relative position and orientation estimation. Measurement Science and Technology, 21(6), 65801. http://doi.org/10.1088/0957-0233/21/6/065801

Schuler, N. B., Bey, M. J., Shearn, J. T., & Butler, D. L. (2005). Evaluation of an electromagnetic position tracking device for measuring in vivo, dynamic joint kinematics. Journal of Biomechanics, 38(10), 2113–2117.

Shirehjini, A. A. N., Yassine, A., & Shirmohammadi, S. (2012). An RFID-based position and orientation measurement system for mobile objects in intelligent environments. IEEE Transactions on Instrumentation and Measurement, 61(6), 1664–1675. http://doi.org/10.1109/TIM.2011.2181912

Spörri, J., Schiefermüller, C., & Müller, E. (2016). Collecting Kinematic Data on a Ski Track with Optoelectronic Stereophotogrammetry: A Methodological Study Assessing the Feasibility of Bringing the Biomechanics Lab to the Field. PloS One, 11(8), e0161757.

Stancic, I., Supuk, T. G., & Panjkota, A. (2013). Design, development and evaluation of optical motion-tracking system based on active white light markers. IET Science, Measurement & Technology, 7(4), 206–214.

Stelzer, a. (2004). Concept and application of LPM-a novel 3-D local position measurement system. IEEE Transactions on Microwave Theory and Techniques, 52(12), 2664–2669. http://doi.org/10.1109/TMTT.2004.838281

Tan, H., Wilson, A. M., & Lowe, J. (2008). Measurement of stride parameters using a wearable GPS and inertial measurement unit. Journal of Biomechanics. http://doi.org/10.1016/j.jbiomech.2008.02.021

Ting, S. L., Kwok, S. K., Tsang, A. H. C., & Ho, G. T. S. (2011). The Study on Using Passive RFID Tags for Indoor Positioning. International Journal of Engineering Business Management, 3(1), 1. http://doi.org/10.5772/45678

van der Kruk, E. (2013a). Modelling and Measuring 3D Movements of a Speed Skater. TU Delft.

van der Kruk, E. (2013b). Smooth Measuring; What measurement systems could serve the purpose of finding accurate kinematic data of skaters on an ice rink?

Waegli, A., & Skaloud, J. (2009). Optimization of two GPS/MEMS-IMU integration strategies with application to sports. GPS Solutions, 13(4), 315–326.

Windolf, M., Götzen, N., & Morlock, M. (2008). Systematic accuracy and precision analysis of video motion capturing systems-exemplified on the Vicon-460 system. Journal of Biomechanics, 41(12), 2776–2780. http://doi.org/10.1016/j.jbiomech.2008.06.024

Xsens. (2017). www.xsens.com.

Zhong, D., & Chang, S. F. (2004). Real-time view recognition and event detection for sports video. Journal of Visual Communication and Image Representation, 15(3), 330–347. http://doi.org/10.1016/j.jvcir.2004.04.009

Zohlandt, C., Walk, L., & Nawara, W. (2012). Classification of Vault Jumps in Gymnastics, 1–9.

Blog op WordPress.com.

Reacties laden....

Laat een reactie achter...

E-mailadres (Vereist)

Naam (Vereist)

Site

Privacy en cookies: Deze site maakt gebruik van cookies. Door verder te gaan op deze website, ga je akkoord met het gebruik hiervan.
Voor meer informatie, onder andere over cookiebeheer, bekijk je: Cookiebeleid

%d bloggers liken dit: