• DocumentCode
    2018510
  • Title

    A method for digital representation of human movements

  • Author

    Lippi, Vittorio ; Avizzano, Carlo Alberto ; Ruffaldi, Emanuele

  • Author_Institution
    PERCRO Lab., TECIP Inst., Pisa, Italy
  • fYear
    2012
  • fDate
    9-13 Sept. 2012
  • Firstpage
    404
  • Lastpage
    410
  • Abstract
    In this work we present a method to produce a model of human motion based on an expansion in functions series. The model is thought to reproduce the learned movements generalizing them to different conditions. We will show, with an example, how the proposed method is capable to produce the model from a reduced set of examples preserving the relevant features of the demonstrations while guaranteeing constraints at boundaries.
  • Keywords
    motion compensation; virtual reality; digital representation; function series; human motion model; human movements; learned movement reproduction; Data models; Equations; Humans; Mathematical model; Real-time systems; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2012 IEEE
  • Conference_Location
    Paris
  • ISSN
    1944-9445
  • Print_ISBN
    978-1-4673-4604-7
  • Electronic_ISBN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2012.6343786
  • Filename
    6343786