@InProceedings{kurillo13upper,
  IS = { zkontrolovano 02 Jan 2015 },
  UPDATE  = { 2014-12-16 },
  key =         {kurillo13upper},
  author =      {Kurillo, Gregorij and Han, Jay J. and Obdr{\v z}{\'
                  a}lek, {\v S}t{\v e}p{\' a}n and Yan, Posu and
                  Abresch, Richard Ted and Nicorici, Alina and Bajcsy,
                  Ruzena },
  affiliation = {NULL-NULL-NULL-NULL-NULL-NULL-NULL},
  authorship =  {35-25-20-5-5-5-5 },
  title =       {Upper Extremity Reachable Workspace Evaluation with Kinect},
  year =        {2013},
  pages =       {247-253},
  booktitle =   {Medicine Meets Virtual Reality 20},
  editor =      {Westwood, J.D. and Westwood, S.W. and Fell{\"
                  a}nder-Tsai, L. and Haluck, R.S. and Robb, R.A. and
                  Senger, S. and Vosburgh, K.G.},
  publisher =   {IOS Press},
  address =     {Nieuwe Hemweg 6B, 1013 BG, Amsterdam, Netherlands},
  isbn =        {978-1-61499-208-0},
  volume =      {20},
  series =      {Studies in Health Technology and Informatics},
  number =      {184},
  book_pages =  {520},
  month =       {February},
  day = {15},
  venue =       {Mission Valley Marriott Hotel, San Diego, California, USA},
  organization ={NextMed},
  annote =      {We propose a novel low-cost method for quantitative
                  assessment of upper extre mity workspace envelope
                  using Microsoft Kinect camera. In clinical
                  environment there are curre ntly no practical and
                  cost-effective methods available to provide
                  arm-function evaluation in t hree-dimensional
                  space. In this paper we examine the accuracy of the
                  proposed technique for wo rkspace estimation using
                  Kinect in comparison with a motion capture
                  system. The experimental r esults show that the
                  developed system is capable of capturing the
                  workspace with sufficient ac curacy and robustness.},
  keywords =    {Goniometry, Kinect, reachable workspace, upper-limb evaluation},
  prestige =    {international},
  project =     {National Science Foundation (NSF) grants 1111965,
                  CITRIS at UC Berkeley, U.S.  Department of Education/NIDRR H133B031118 , 
H133B090001 },
  doi =         {10.3233/978-1-61499-209-7-247},
}