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
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;
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
DOI :
10.1109/ISPACS.2012.6473523