• DocumentCode
    2964521
  • Title

    Embodied Conversational Human-Machine Interface with Wearable Body Sensors for Improving Geography Teaching

  • Author

    Ling, Y. ; Bellotti, Fernando ; Berta, R. ; De Gloria, A.

  • Author_Institution
    Dynatech - Dept. of Naval, Electr. & Inf. Technol. Eng., Univ. of Genoa, Genoa, Italy
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    686
  • Lastpage
    687
  • Abstract
    This paper introduces a suit of advanced human-machine interface (HMI) with gesture interaction. Related hardware component of the system and used signal processing methods are illustrated. The design of embodied conversational geography teaching system which applies this HMI system to game-based learning is described. Finally, the advantages and meanings of the usage of this geography teaching system with gesture interaction are analyzed and presented.
  • Keywords
    brain-computer interfaces; computer aided instruction; computer games; geography; gesture recognition; signal processing; teaching; wearable computers; advanced HMI system; advanced human-machine interface; embodied conversational geography teaching system; embodied conversational human-machine interface; game-based learning; gesture interaction; hardware component; signal processing methods; wearable body sensors; Earth; Education; Geography; Humans; Navigation; Sensor systems; HIMI; embodied interaction; geography teaching; sensor technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1642-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2012.100
  • Filename
    6268218