• DocumentCode
    600170
  • Title

    A neural-network-based sketch recognition system

  • Author

    Mu-Chun Su ; Ting-Huan Hsio ; Yi-Zeng Hsieh ; Shih-Chieh Lin ; Chien-Hsing Chou

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Taoyuan, Taiwan
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    420
  • Lastpage
    423
  • Abstract
    Children really enjoy painting. Painting is not only full of fun but also beneficial for children to further develop their physical skills (e.g., hand eye coordination, fine motor skills, and gross motor skills), express their creativity, boost their self-confidence, etc. On the other hand, storytelling is also a joyful and educational activity for children. In this paper, we develop an interactive platform called An Interactive Painting and Storytelling Platform (AIPSP) on which the two activities of painting and storytelling mingle. Via the proposed AIPSP, children can create a story simply via sketching some main characters of the story on a drawing board. Via these characters and interactions, some creative and funny stories can be created.
  • Keywords
    human computer interaction; image recognition; interactive systems; neural nets; AIPSP; an interactive painting and storytelling platform; neural-network-based sketch recognition system; Art; Computers; Educational institutions; Feature extraction; Painting; Robots; Neural Network; Sketch Recognition; interactive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
  • Conference_Location
    New Taipei
  • Print_ISBN
    978-1-4673-5083-9
  • Electronic_ISBN
    978-1-4673-5081-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2012.6473523
  • Filename
    6473523