Fuzzy theory in hand writing learning system

Author

Ozaki, Masahiro ; Adachi, Yoshinori ; Ishii, Naohiro

Author_Institution

Okazaki Women´´s Jr. Coll., Aichi, Japan

Volume

1

fYear

1993

fDate

25-29 Oct. 1993

Firstpage

766

Abstract

A handwriting learning CAI (computer assisted instruction) system for five Japanese characters for elementary schools is developed. Three types of similarity evaluation functions (membership functions) are designed for beginners, medium and higher grades from the standard characters which we believe are beautiful. A promotion is automatically decided from the average of the last three times of beauty evaluations using fuzzy inferences. Furthermore, in the medium and higher grades, each stroke is compared with that of the standard character and proper instructions on how to improve the handwriting are given.

Keywords

fuzzy set theory; fuzzy systems; inference mechanisms; intelligent tutoring systems; Japanese characters; beauty evaluations; computer assisted instruction; fuzzy inferences; hand writing learning system; membership functions; Charge coupled devices; Charge-coupled image sensors; Computer aided instruction; Educational institutions; Fuzzy systems; Handwriting recognition; Learning systems; Marine vehicles; Microcomputers; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on

Print_ISBN

0-7803-1421-2

Type

conf

DOI

10.1109/IJCNN.1993.714026

Filename

714026