226
Views
27
CrossRef citations to date
0
Altmetric
Research Articles

The accuracy of the Microsoft Kinect in joint angle measurement

, &
Pages 98-105 | Received 26 Feb 2014, Accepted 19 Aug 2014, Published online: 21 Oct 2014

References

  • Areblad, M., Nigg, B., Ekstrand, J., Olsson, K., & Ekstrom, H. (1990). Three-dimensional measurement of rearfoot motion during running. Journal of Biomechanics, 23, 933–940.
  • Clark, R. a., Pua, Y. -H., Fortin, K., Ritchie, C., Webster, K. E., Denehy, L., & Bryant, A. L. (2012). Validity of the Microsoft Kinect for assessment of postural control. Gait & Posture, 36, 372–377.
  • Corazza, S., Mündermann, L., Gambaretto, E., Ferrigno, G., & Andriacchi, T. P. (2009). Markerless motion capture through visual hull, articulated ICP and subject specific model generation. International Journal of Computer Vision, 87, 156–169.
  • Fernandez-Baena, A., Susin, A., & Lligadas, X. (2012). Biomechanical validation of upper-body and lower-body joint movements of kinect motion capture data for rehabilitation treatments. Fourth International Conference on Intelligent Networking and Collaborative Systems, 656–661.
  • Liu, H., Holt, C., & Evans, S. (2007). Accuracy and repeatability of an optical motion analysis system for measuring small deformations of biological tissues. Journal of Biomechanics, 40, 210–214.
  • Ludbrook, J. (1997). Comparing methods of measurement. Clinical and Experimental Pharmacology and Physiology, 24, 193–203.
  • Ludbrook, J. (2002). Statistical techniques for comparing measurers and methods of measurement: a critical review. Clinical and Experimental Pharmacology and Physiology, 29, 527–536.
  • Mündermann, L., Corazza, S., & Andriacchi, T. P. (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, 6.
  • Obdrzálek, Š., Kurillo, G., Ofli, F., & Bajcsy, R. (2012). Accuracy and robustness of kinect pose estimation in the context of coaching of elderly population. In 34th International Conference of the IEEE Engineering in Medicine and Biology in Society.
  • Ryden, F., Chezeck, H., & Kosari, S. (2011). Using Kinect and a haptic interface for implementation of real-time virtual fixtures. RSS Workshop on RGB-D Cameras.
  • Scharstein, D., & Szeliski, R. (2003). High-accuracy stereo depth maps using structured light. Proceedings of 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003, 195–202. https://doi.org/doi:10.1109/CVPR.2003.1211354.
  • Sheets, A. L., Corazza, S., & Andriacchi, T. P. (2010). An automated image-based method of 3D subject-specific body segment parameter estimation for kinetic analyses of rapid movements. Journal of Biomechanical Engineering, 132(1), 1–10.
  • Shotton, J., & Sharp, T. (2011). Real-time human pose recognition in parts from single depth images. In Computer Vision and Pattern Recognition (CVPR).
  • Simon, S. R. (2004). Quantification of human motion: Gait analysis-benefits and limitations to its application to clinical problems. Journal of Biomechanics, 37, 1869–1880.
  • Stowers, J., Hayes, M., & Bainbridge-Smith, A. (2011). Altitude control of a quadrotor helicopter using depth map from Microsoft Kinect sensor. In IEEE International Conference on Mechatronics (ICM) (pp. 358–362). https://doi.org/doi:10.1109/ICMECH.2011.5971311.
  • 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, 2776–2780.
  • Wu, G., Siegler, S., Allard, P., Kirtley, C., Leardini, A., Rosenbaum, D., … Stokes, I. (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., Vanderhelm, F., Dirkjanveeger, H., Makhsous, M., Vanroy, P., Anglin, C., … Wang, X. (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.
  • Xia, L., Chen, C., & Aggarwal, J. (2011). Human detection using depth information by kinect. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 15–22).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.