@TechReport{Cihak-TR-2005-32,
  UPDATE  = { 2006-01-31 },
  author =	 {{\v C}ih{\'a}k, Ji{\v r}{\'\i } and {\v C}umpel{\'\i }k,
                  Ji{\v r}{\'\i } and Krti{\v c}ka, Ladislav and Smutn{\'y},
                  Vladim{\'\i }r and Strnad, Pavel and {\v S}{\'a}ra, Radim
                  and V{\'e}le, Franti{\v s}ek and Veverkov{\'a}, Michaela and
                  Z{\'y}ka, V{\'\i }t},
  title =	 {Recognition of Breathing Pattern by a Photogrammetric
                  Method},
  institution =	 {Center for Machine Perception, K13133 FEE Czech Technical
                  University},
  address =	 {Prague, Czech Republic},
  year =	 {2005},
  month =	 {December},
  type =	 {Research Report},
  number =	 {{CTU--CMP--2005--32}},
  issn =	 {1213-2365},
  pages =	 {9},
  figures =	 {3},
  authorship =	 {[5-14-2-13-14-14-14-14-10},
  psurl =	 {[Cihak-TR-2005-32.pdf]},
  project =	 {NK7735-3, breathe},
  annote =	 {A method is proposed that recognizes breathing pattern of a
                  person from a set of image acquired by a photogrammetric
                  system. Special markers are placed on a set of anatomical
                  points over the torso and their 3D position is measured by
                  the system to $\pm0.1$\,mm accuracy. One set of positions is
                  measured in inspiration and one in expiration. The
                  difference of marker positions captures information about
                  the mechanics of breathing motion. A~probabilistic index is
                  proposed to recognize three types of breathing pattern
                  according to Kapandji: bucket handle, pump handle and
                  abdominal. The index is used to quantify changes in three
                  sets of individuals after exercise program designed to
                  improve breathing pattern.},
  keywords =	 {posture, breathing type, photogrammetry},
}