IS = { zkontrolovano 02 Jan 2015 },
  UPDATE  = { 2014-12-16 },
  key =         {obdrzalek13architecture},
  author =      {Obdr{\v z}{\' a}lek, {\v S}t{\v e}p{\' a}n and
                  Kurillo, Gregorij and Seto, Edmund  and 
                  Bajcsy, Ruzena},
  affiliation = {NULL-NULL-NULL-NULL},
  authorship =  {50-30-10-10 },
  title =       {Architecture of an Automated Coaching System for Elderly Population},
  year =        {2013},
  pages =       {309-311},
  booktitle =   {Medicine Meets Virtual Reality 20},
  editor =      {Westwood, J.D., Westwood, S.W., Fell{\" a}nder-Tsai, L., Haluck, R.S., Robb, 
R.A., Senger, S., 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 present an automated coaching system for elderly
                  population living in assi sted homes. The system
                  guides its users through a sequence of exercises and
                  tests. Each exerci se is demonstrated by a
                  pre-recorded video of a coach, checked for correct
                  execution and quali tatively evaluated. Automatic
                  coaching advices are generated in order to improve
                  the execution . Performance measurements are shown
                  as an immediate feedback to the user, and stored and
                  eval uated over time. The system is designed to
                  allow for a remote interaction with a coach, and, t
                  o bolster social aspect of the exercise, for
                  concurrent exercise of two (or eventually multipl e)
                  remote users.},
  keywords =    {Computer assisted coaching, marker-less motion
                  capture, Kinect, automatic exe rcise evaluation},
  prestige =    {international},
  project =     {National Science Foundation (NSF) grants 1111965},
  doi =         {10.3233/978-1-61499-209-7-309},