• DocumentCode
    184554
  • Title

    Communication through motion in dance with topological constraints

  • Author

    Ozcimder, Kayhan

  • Author_Institution
    Boston Univ., Boston, MA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    This paper summarizes work that investigates human interactions in terms of communication through motion in cooperative control. We are interested in multi-agent distributed control models with a shared goal and with the agents being required to accomplish secondary objectives. The study presented here extends the earlier work on the analysis of leader-follower interactions in salsa. The move transitions in salsa are described by simple rules suggested by topological knot theory. The initial and final poses of each move in the dance are represented by link diagrams. The link invariant Alexander Polynomial is calculated for classified link diagrams so that the physical motion primitives in dance are described as polynomial function manipulations. The size of the alphabet for the dance moves given in earlier work is extended by introducing three new moves. The leaders´ decision process in a transition system is discussed and it is compared with the prior models which had fewer moves. Complexity metrics are proposed to capture the new alphabet and the proficiency hierarchy in the dance.
  • Keywords
    distributed control; humanities; multi-robot systems; polynomials; alphabet; complexity metrics; dance; leader-follower interactions; link diagrams; link invariant Alexander polynomial; motion communication; move transitions; multi-agent distributed control models; polynomial function manipulations; proficiency hierarchy; salsa; topological constraints; topological knot theory; Complexity theory; Entropy; Lead; Mathematical model; Measurement; Polynomials; Control applications; Cooperative control; Information theory and control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859167
  • Filename
    6859167