Publication detail

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children

MEKYSKA, J. GALÁŽ, Z. ŠAFÁROVÁ, K. ZVONČÁK, V. MUCHA, J. SMÉKAL, Z. ONDRÁČKOVÁ, A. URBÁNEK, T. HAVIGEROVÁ, J.M. BEDNÁŘOVÁ, J. FAÚNDEZ ZANUY, M.

Original Title

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children

English Title

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children

Type

conference paper

Language

en

Original Abstract

Although graphomotor difficulties (GD) are present in up to 30 % of school-aged children, the field of GD diagnosis and assessment is not fully explored and several research gaps can be identified. This study aims to explore the impact of specific elementary graphomotor tasks analysis on the accuracy of computerised diagnosis and assessment of GD. We analysed seven basic graphomotor tasks from 76 children (assessed by special educational counsellors and using the handwriting proficiency screening questionnaire for children HPSQ–C). Employing a differential analysis, we observed that the most discriminative tasks are based on combined loops, sawtooth and small Archimedean spiral drawings. Features with the highest discrimination power quantify kinematics, especially in the vertical projection. Using a multivariate mathematical model, we were able to identify GD with 50 % sensitivity and 90% specificity, and to estimate the total score of HPSQ–C with 31 % error

English abstract

Although graphomotor difficulties (GD) are present in up to 30 % of school-aged children, the field of GD diagnosis and assessment is not fully explored and several research gaps can be identified. This study aims to explore the impact of specific elementary graphomotor tasks analysis on the accuracy of computerised diagnosis and assessment of GD. We analysed seven basic graphomotor tasks from 76 children (assessed by special educational counsellors and using the handwriting proficiency screening questionnaire for children HPSQ–C). Employing a differential analysis, we observed that the most discriminative tasks are based on combined loops, sawtooth and small Archimedean spiral drawings. Features with the highest discrimination power quantify kinematics, especially in the vertical projection. Using a multivariate mathematical model, we were able to identify GD with 50 % sensitivity and 90% specificity, and to estimate the total score of HPSQ–C with 31 % error

Keywords

computerised analysis, digitizer, graphomotor difficulties, graphomotor elements, machine learning, online handwriting

Released

28.10.2019

Location

Dublin, Irsko

ISBN

978-1-7281-5763-4

Book

2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Pages from

1

Pages to

6

Pages count

6

Documents

BibTex


@inproceedings{BUT159732,
  author="Jiří {Mekyska} and Zoltán {Galáž} and Vojtěch {Zvončák} and Ján {Mucha} and Zdeněk {Smékal}",
  title="Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children",
  annote="Although graphomotor difficulties (GD) are present in up to 30 % of school-aged children, the field of GD diagnosis and assessment is not fully explored and several research gaps can be identified. This study aims to explore the impact of specific elementary graphomotor tasks analysis on the accuracy of computerised diagnosis and assessment of GD. We analysed seven basic graphomotor tasks from 76 children (assessed by special educational counsellors and using the handwriting proficiency screening questionnaire for children HPSQ–C). Employing a differential analysis, we observed that the most discriminative tasks are based on combined loops, sawtooth and small Archimedean spiral drawings. Features with the highest discrimination power quantify kinematics, especially in the vertical projection. Using a multivariate mathematical model, we were able to identify GD with 50 % sensitivity and 90% specificity, and to estimate the total score of HPSQ–C with 31 % error",
  booktitle="2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="159732",
  doi="10.1109/ICUMT48472.2019.8970767",
  howpublished="online",
  year="2019",
  month="october",
  pages="1--6",
  type="conference paper"
}