Development of an automatic handwriting recognition system for children with developmental disabilities

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K11892
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: The University of Aizu
• Principal Investigator: SHIN JUNGPIL 会津大学, コンピュータ理工学部, 教授 (40315677)
• Co-Investigator(Kenkyū-buntansha): 安村 明 熊本大学, 大学院人文社会科学研究部(文), 准教授 (60723468)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 発達障害 / 書字認識 / 機械学習 / 個別画情報 / 画間相互情報

Outline of Final Research Achievements

According to the Basic Law for Persons with Disabilities, developmental disabilities include learning disabilities (LD), attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), etc. LD is characterized by reading problems and difficulty with calculation despite the absence of intellectual delays. On the other hand, ADHD is characterized by symptoms of inattention, hyperactivity, and impulsivity, while ASD is characterized by behavioral problems such as obsessiveness and communication issues.
These developmental disorders have been suggested to have specific characteristics of handwriting, such as unbalanced letter formation and excessive pressure on the strokes. However, no system has yet been developed to distinguish the three developmental disorders based on these writing characteristics.

Free Research Field

医療分野

Academic Significance and Societal Importance of the Research Achievements

発達障害の手書きの特異性を明確にすることにより、作成されたシステムを用いて、発達障害児を見分けることが高確率で可能になる。