• DocumentCode
    254918
  • Title

    A Multimodal Learning System for Handwriting Movements

  • Author

    Brondi, Raffaello ; Satler, Massimo ; Avizzano, Carlo Alberto ; Tripicchio, Paolo

  • Author_Institution
    PERCeptual Robot. Lab. TeCIP Inst., Scuola Superiore Sant´Anna, Pisa, Italy
  • fYear
    2014
  • fDate
    June 30 2014-July 4 2014
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    Learning to hand-write is a complex task and is fundamental for the development of a correct language reasoning and understanding. This work presents a multimodal system that focuses on the learning of handwriting movements. The system is thought for children usage providing engaging graphics and novel feedback technologies to accelerate the learning process. The main characteristic of the system architecture is its scalability in hardware and software components so that it is possible to employ it in any domestic setup.
  • Keywords
    computer aided instruction; computer graphics; feedback; human computer interaction; children usage; feedback technologies; graphics technologies; handwriting movement learning; hardware component scalability; learning process acceleration; multimodal learning system; software component scalability; system architecture; Force; Haptic interfaces; Hardware; Software; Trajectory; Visualization; Writing; Haptic; Learning; Multimodal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Environments (IE), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/IE.2014.48
  • Filename
    6910459