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

Research Project

Project/Area Number 20K11892
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionThe 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
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2020: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords発達障害 / 書字認識 / 機械学習 / 個別画情報 / 画間相互情報 / 学習障害 / ディープラーニング
Outline of Research at the Start

本研究では、これら発達障害を対象とした研究および書字識別システム開発の経験を活用し、書字のどのような特徴が発達障害の特異性と関連しているのかを明らかにすることで、新たに書字によって得られたデータから発達障害を自動識別することができるシステムを開発する。
本システムは、学校などにおける発達障害児のスクリーニング検査として非常に有用性の高いシステムとして用いることができる。

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.

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。

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (14 results)

All 2023 2022 2021 2020

All Journal Article (9 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 9 results,  Open Access: 8 results) Presentation (4 results) (of which Int'l Joint Research: 3 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques2023

    • Author(s)
      Maniruzzaman Md.、Hasan Md. Al Mehedi、Asai Nobuyoshi、Shin Jungpil
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 33570-33583

    • DOI

      10.1109/access.2023.3264266

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] ペンタブレットを用いた仮名単語聴写課題における書字動態の発達的変化と神経発達症傾向との関連性2023

    • Author(s)
      惠明子, 鈴木暁子, 愼 重弼, 安村明
    • Journal Title

      認知神経科学

      Volume: 24 Pages: 93-101

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Predicting Children with ADHD using Behavioral Activity: A Machine Learning Analysis2022

    • Author(s)
      Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan
    • Journal Title

      Applied Sciences

      Volume: 12 Issue: 5 Pages: 2737-2737

    • DOI

      10.3390/app12052737

    • Related Report
      2022 Annual Research Report 2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal2022

    • Author(s)
      Maniruzzaman Md.、Shin Jungpil、Al Mehedi Hasan Md.、Yasumura Akira
    • Journal Title

      Computers, Materials & Continua

      Volume: 72 Issue: 3 Pages: 5179-5195

    • DOI

      10.32604/cmc.2022.028339

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods2022

    • Author(s)
      Shin Jungpil、Maniruzzaman Md.、Uchida Yuta、Hasan Md. Al Mehedi、Megumi Akiko、Suzuki Akiko、Yasumura Akira
    • Journal Title

      Applied Sciences

      Volume: 12 Issue: 10 Pages: 5256-5256

    • DOI

      10.3390/app12105256

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Brain activity in the prefrontal cortex during cancelation tasks: Effects of the stimulus array2022

    • Author(s)
      Yano Koji、Shin Jungpil、Yasumura Akira
    • Journal Title

      Behavioural Brain Research

      Volume: 422 Pages: 113744-113744

    • DOI

      10.1016/j.bbr.2022.113744

    • Related Report
      2022 Annual Research Report 2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Efficient Feature Extraction and Selection based ADHD Detection from EEG Signal using Support Vector Machine2022

    • Author(s)
      Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan, Akira Yaumura
    • Journal Title

      CMC-Computers, Materials & Continua

      Volume: 72 Pages: 5179-5195

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Relationship between handwriting dynamics using pen tablet and the tendencies for ADHD and ASD2021

    • Author(s)
      惠 明子、鈴木 暁子、愼 重弼、安村 明
    • Journal Title

      Japanese Journal of Cognitive Neuroscience

      Volume: 22 Issue: 3+4 Pages: 151-157

    • DOI

      10.11253/ninchishinkeikagaku.22.151

    • NAID

      130008031297

    • ISSN
      1344-4298, 1884-510X
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] ペンタブレットを用いた書字動態とADHDおよびASD傾向との関連性2021

    • Author(s)
      惠 明子,鈴木 暁子,愼 重弼,安村 明
    • Journal Title

      認知神経科学

      Volume: 22 Pages: 151-157

    • Related Report
      2020 Research-status Report
    • Peer Reviewed
  • [Presentation] Online Handwriting Based Adult and Child Classification using Machine Learning Techniques2022

    • Author(s)
      Jungpil Shin, Md. Al Mehedi Hasan, Md. Maniruzzaman, Akiko Megumi, Akiko Suzuki and Akira Yasumura
    • Organizer
      5th Eurasian Conference on Educational Innovation 2022 (ECEI 2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Relationship between handwriting dynamics using pen tablet and tendencies of ADHD and ASD2021

    • Author(s)
      Akiko Megumi, Akiko Suzuki, Jungpil Shin, Akira Yasumura
    • Organizer
      8th World Federation of ADHD, From Child to Adult Disorder
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Online Handwriting Based Adult and Child Classification using Machine Learning Techniques2021

    • Author(s)
      Jungpil Shin, Md. Al Mehedi Hasan, Md. Maniruzzaman, Akiko Megumi, Akiko Suzuki and Akira Yasumura
    • Organizer
      5th Eurasian Conference on Educational Innovation 2022
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] ペンタブレットを用いた書字動態と発達障害傾向との関連性について2020

    • Author(s)
      惠 明子,鈴木 暁子,愼 重弼,安村 明
    • Organizer
      日本心理学会
    • Related Report
      2020 Research-status Report
  • [Patent(Industrial Property Rights)] 判定支援システム、判定支援方法及びコンピュータープログラム2023

    • Inventor(s)
      惠 明子,安村 明,愼 重弼
    • Industrial Property Rights Holder
      惠 明子,安村 明,愼 重弼
    • Industrial Property Rights Type
      特許
    • Filing Date
      2023
    • Related Report
      2022 Annual Research Report

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Published: 2020-04-28   Modified: 2024-01-30  

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