Presentation information

Oral presentation

General Session » [General Session] 12. HI / Education Aid

[1L1] [General Session] 12. HI / Education Aid

Tue. Jun 5, 2018 1:20 PM - 3:00 PM Room L (3F Sapphire Hall Asuka)

座長:笠井 俊信(岡山大学大学院)

2:20 PM - 2:40 PM

[1L1-04] Character Strokes Detection and Scoring for Increasing Children's Calligraphy Training time

〇Yui Kakino1, Makoto Kawano1, Takuro Yonezawa1, Jin Nakazawa1 (1. Keio University)

Keywords:Object detection, Deep learning, education

In order to encourage elementary school students unfamiliar with Japanese calligraphy to have an assertive attitude towards acquiring basic calligraphy skills, it is imperative to have an application that provides an environment which allows them to practice calligraphy regardless of the time and place. Due to the fact that this application requires an evaluation system that does not need a calligraphy teacher's assistance, this research proposes a method of automatically evaluating a work of calligraphy. All detected strokes within one sheet will be regarded as an object detection problem, therefore, the entire work's evaluation will depend on the detected strokes. Strokes are a fundamental technique in calligraphy, and are a vital component in creating a work of calligraphy.