Vývojová dysgrafie (DD), vyskytující se u 10–30% dětí školního věku, je porucha nebo obtížnost produkce psaného jazyka, která souvisí s mechanikou psaní. Diagnóza a/nebo hodnocení DD vyžaduje komplexní vyšetření zahrnující analýzu grafomotorických dovedností a kognitivních schopností. Doposud se tyto analýzy provádí především subjektivně. V rámci tohoto multidisciplinárního projektu navrhneme objektivní počítačovou metodu analýzy paměťových a vizuoprostorových schopností, budeme zkoumat pokročilé metody digitální parametrizace grafomotorických dovedností, a navrhneme novou komplexní škálu hodnocení DD (DD-RS), založenou na kvantitativní analýze písma/kresby. Nakonec využijeme matematického modelování a navrhneme systém, který bude hodnotit DD na základě nové škály automaticky.

Description in English
Developmental dysgraphia (DD), being observed among 10–30% of school-aged children, is a disturbance or difficulty in the production of written language that has to do with the mechanics of writing. Diagnosis and/or rating of DD requires a complex examination including graphomotorical skills and cognitive abilities analysis. Until now, these analyses have been performed mainly subjectively. In the frame of this multidisciplinary project, we are going to propose an objective computerized methodology of memory and visuospatial ability analysis, we are going to research advanced digital graphomotorical skills parameterization, and to propose a new complex DD rating scale (DD-RS) based on the quantitative handwriting/drawing analysis. Finally, we are going to employ the mathematical modelling methods in order to design a system that will rate DD based on the newly proposed scale automatically. Results will be continuously published in journals with impact factor (4 articles), in Czech peer-reviewed journals (4 articles), in conference proceedings (6 papers), and finally in a monograph.

Keywords
vývojová dysgrafie, online, písmo, kresba, grafomotorika, kognitivní schopnosti, diagnóza, hodnocení, škála, kvantitativní analýza, parametrizace, matematické modelování

Key words in English
developmental dysgraphia, online, handwriting, drawing, graphomotorics, cognitive abilities, diagnosis, rating, scale, quantitative analysis, parameterization, mathematical modelling

GA18-16835S

Czech

Mekyska Jiří, doc. Ing., Ph.D. - principal person responsible
Galáž Zoltán, Ing., Ph.D. - fellow researcher
Zvončák Vojtěch, Ing., Ph.D. - fellow researcher

Department of Telecommunications
- responsible department (28.3.2017 - not assigned)
Department of Telecommunications
- beneficiary (28.3.2017 - not assigned)

MEKYSKA, J.; ŠAFÁROVÁ, K.; TOMÁŠ, U.; BEDNÁŘOVÁ, J.; ZVONČÁK, V.; HAVIGEROVÁ, J.; ČUNEK, L.; GALÁŽ, Z.; MUCHA, J.; KLAUSZOVÁ, C.; FAÚNDEZ ZANUY, M.; FERRER, M.; DIAZ, M. Graphomotor and Handwriting Disabilities Rating Scale (GHDRS): towards complex and objective assessment. Australian Journal of Learning Difficulties, 2024, vol. 29, no. 1, p. 1-34. ISSN: 1940-4166.
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GAVENČIAK, M.; ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; ČUNEK, L.; TOMÁŠ, U.; MARIE HAVIGEROVÁ, J.; BEDNÁŘOVÁ, J.; GALÁŽ, Z.; MUCHA, J. Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities. In 2022 45th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2022. p. 355-359. ISBN: 978-1-6654-6948-7.
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ŠAFÁROVÁ, K.; MEKYSKA, J.; ZVONČÁK, V. Developmental Dysgraphia: A New Approach to Diagnosis. International Journal of Assessment and Evaluation, 2021, vol. 28, no. 1, p. 143-160. ISSN: 2327-7920.
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GAVENČIAK, M. Poloautomatická segmentace online písma. Proceedings of the 25st conference STUDENT EEICT 2019. Brno: Vysoké učení technické v brně, fakulta elektrotechniky a komunikačních technologií, 2019. s. 54-57. ISBN: 978-80-214-5735-5.
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GAVENČIAK, M.: DysGraphy; DysGraphy. https://github.com/BDALab. URL: https://github.com/BDALab. (software)
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MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.; FAUNDEZ-ZANUY, M; ZVONČÁK, V.; ŠAFÁROVÁ, K.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁROVÁ, J.; SMÉKAL, Z. Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties. IEEE Access, 2020, vol. 8, no. 1, p. 218234-218244. ISSN: 2169-3536.
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MUCHA, J.; MIKULEC, M.: HandAQUS for Cinitq; HandAQUS for Cintiq. https://github.com/BDALab/HandAQUS_for_Cintiq. URL: https://github.com/BDALab/HandAQUS_for_Cintiq. (software)
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GALÁŽ, Z.; MUCHA, J.; ZVONČÁK, V.; MEKYSKA, J.; SMÉKAL, Z.; ŠAFÁROVÁ, K.; ONDRÁČKOVÁ, A.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁROVÁ, J.; FAUNDEZ-ZANUY, M. Advanced Parametrization of Graphomotor Difficulties in School-Aged Children. IEEE Access, 2020, vol. 8, no. 1, p. 112883-112897. ISSN: 2169-3536.
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ŠAFÁROVÁ, K.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; FRANCOVÁ, P.; ČECHOVÁ, B.; LOSENICKÁ, B.; SMÉKAL, Z.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; ROSENBLUM, S. Psychometric Properties of Screening Questionnaires for Children With Handwriting Issues. Frontiers in Psychology, 2020, vol. 10, no. 2937, p. 1-12. ISSN: 1664-1078.
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ILGNER, P.; ZVONČÁK, V.; MEKYSKA, J.; GALÁŽ, Z.; MUCHA, J.: Software for online handwriting record on digitizers with LCD screen (OWSTU); Software for online handwriting record on digitizers with LCD screen (OWSTU). https://gitlab.com/zv01/OWSTU. URL: https://gitlab.com/zv01/OWSTU. (software)
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ILGNER, P.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.: Synchronized record of EEG signals and online handwriting (SREW); Synchronized record of EEG signals and online handwriting (SREW). https://gitlab.com/zv01/SREW. URL: https://gitlab.com/zv01/SREW. (software)
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ZVONČÁK, V.; MEKYSKA, J.; GALÁŽ, Z.; MUCHA, J.: Labeling software for online handwriting (LSOW); Labeling software for online handwriting (LSOW). https://gitlab.com/zv01/LSOW. URL: https://gitlab.com/zv01/LSOW. (software)
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MEKYSKA, J.; GALÁŽ, Z.; ŠAFÁROVÁ, K.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ONDRÁČKOVÁ, A.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁŘOVÁ, J.; FAÚNDEZ ZANUY, M. Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin, Irsko: 2019. p. 1-6. ISBN: 978-1-7281-5763-4.
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ZVONČÁK, V.; MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; ŠAFÁROVÁ, K.; FAÚNDEZ ZANUY, M.; SMÉKAL, Z. Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2019. p. 210-215. ISBN: 978-1-7281-5764-1.
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MUCHA, J.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I.; LOPEZ-DE-IPINA, K. Analysis of Parkinson’s Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. In 2019 27th European Signal Processing Conference (EUSIPCO). 18th European Signal Processing Conference (EUSIPCO-2010). New York: IEEE, 2019. p. 1-5. ISBN: 978-9-0827-9703-9. ISSN: 2076-1465.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; SMÉKAL, Z.; BREZANY, P. New Approach of Dysgraphic Handwriting Analysis Based on the Tunable Q-Factor Wavelet Transform. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Opatja, Chorvatsko: 2019. p. 289-294. ISBN: 978-953-233-098-4.
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MUCHA, J.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; SANZ-CARTAGENA, M.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; LOPEZ-DE-IPINA, K.; REKTOROVÁ, I. Advanced Analysis of Online Handwriting in a Multilingual Cohort of Patients with Parkinson's Disease. In Advances in Signal Processing and Artificial Intelligence: Proceedings of the 1st International Conference on Advances in Signal Processing and Artificial Intelligence. 1. Barcelona, Spain: International Frequency Sensor Association (IFSA) Publishing, S. L., 2019. p. 144-147. ISBN: 978-84-09-10127-6.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; MUCHA, J.; KISKA, T.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; SMÉKAL, Z. Vliv intra-writer normalizace na diagnózu vývojové dysgrafie založené na kvantitativní analýze online písma. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2019, roč. 20, č. 6, s. 1-5. ISSN: 1213-1539.
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MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting. Applied Sciences - Basel, 2019, vol. 8, no. 12, p. 1-18. ISSN: 2076-3417.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; GALÁŽ, Z.; MUCHA, J.; KISKA, T.; SMÉKAL, Z.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; FAUNDEZ-ZANUY, M.; ROSENBLUM, S. Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: 2018. p. 233-237. ISBN: 978-1-5386-9360-5.
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Responsibility: Mekyska Jiří, doc. Ing., Ph.D.