@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Patrick Beeson's publication pages at
@COMMENT http://personal.traclabs.com/~pbeeson/publications
@InProceedings{Jay-stami-11,
  author =	 {Graylin Trevor Jay and Patrick Beeson and Odeste
                  Chadwicke Jenkins},
  title =	 {Beat-based gesture recognition for non-secure,
                  far-range, or obscured perception scenarios},
  booktitle =	 {IJCAI Workshop on Space, Time and Ambient
                  Intelligence (STAMI)},
  year =	 2011,
  address =	 {Barcelona, Spain},
  month =	 {July},
  abstract =	 {Gesture recognition is an important communication
                  modality for a variety of human-robot applications,
                  including mobile robotics and ambient intelligence
                  domains.  Most gesture recognition systems focus on
                  estimating the position of the arm with respect to
                  the torso of a tracked human.  As an alternative, we
                  present a novel approach to gesture recognition that
                  focuses on reliable detection of time-dependent,
                  cyclic ``beats'' given by a human user.  While the
                  expressiveness of ``beat-based'' gestures is
                  limited, beat-based gesture recognition has several
                  benefits, including reliable 2D gesture detection at
                  far ranges, gesture detection anywhere in the image
                  frame, detection when the human is mostly hidden or
                  obscured, and secure detection via randomly rotated
                  beat patterns that are known only by the user and
                  the perception system.  In addition to discussing
                  this complimentary approach to gesture recognition,
                  we also overview a preliminary implementation of
                  beat-based gestures, and demonstrate some initial
                  successes.},
  bib2html_pubtype ={Workshop},
  bib2html_rescat ={HRI},
}

