Title:
METHOD FOR REPRESENTING GRAPHICS FOR TEACHING MATERIALS
Document Type and Number:
WIPO Patent Application WO/2018/151367
Kind Code:
A1
Abstract:
The present invention relates to a method for representing graphics for teaching materials and, specifically, to a method for representing graphics, wherein graphics are printed in the form of specific patterns, which are almost indistinguishable to the naked eye, in a graphic area of teaching materials, and when an optical recognition pen comes in contact with the specific patterns, the specific patterns are recognized by the optical recognition pen, so as to output sounds or music corresponding to the relevant graphics. A unit graphic area of the teaching materials includes a content part and a header part, the content part is divided into a plurality of virtual sections, and at least one specific pattern having content-related information is formed in each virtual section. The header part includes one or two sections, each having the same size as each unit section of the plurality of virtual sections of the content part, and a frame pattern having information on the structure and direction of a data frame is formed in the one or two sections of the header part.
Inventors:
JOUNG JINOO (KR)
CHOI HOON SOON (KR)
CHOI HOON SOON (KR)
Application Number:
PCT/KR2017/002457
Publication Date:
August 23, 2018
Filing Date:
March 07, 2017
Export Citation:
Assignee:
SANGMYUNG UNIV SEOUL INDUSTRY ACADEMY COOPERATION FOUNDATION (KR)
PROMADIC CO LTD (KR)
PROMADIC CO LTD (KR)
International Classes:
G09B5/02; G06K7/14; G06K19/06
Foreign References:
KR20070102390A | 2007-10-18 | |||
US20100128320A1 | 2010-05-27 | |||
KR100591300B1 | 2006-06-20 | |||
KR101378362B1 | 2014-03-28 | |||
US20130168451A1 | 2013-07-04 |
Attorney, Agent or Firm:
LEE, Joon Sung (KR)
Download PDF:
Previous Patent: SELF-COMPOSITION MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEURO- BLOCKCHAIN COMBINATION
Next Patent: MODULAR HOME ROBOT
Next Patent: MODULAR HOME ROBOT