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Systém poloautomatizované segmentace online písma
Gavenčiak, Michal ; Mekyska, Jiří (oponent) ; Zvončák, Vojtěch (vedoucí práce)
Vývojová dysgrafie postihuje 10-30% dětí školního věku, přesto v České republice neexistuje objektivní způsob její diagnózy, či určení její závažnosti. Proběhlé studie ukázaly, že lze k automatické diagnóze použít digitální data získaná pomocí digitalizujícího tabletu a stylusu. V rámci probíhající studie jsou získána data online písma obsahující informace o poloze, časové informaci, náklonu, přítlaku a azimutu stylusu. Tato data však nejsou připravena na další analýzu vzhledem k obsahu nespecifikovanému počtu cvičení v souborech. V rámci této práce jsou data analyzována a je navržen a implementován program sloužící k segmentaci těchto dat do celků cvičení, umožňující vizuální kontrolu práce programu.
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Research of Advanced Online Handwriting Analysis Methods with a Special Focus on Assessment of Graphomotor Disabilities in School-aged Children
Zvončák, Vojtěch ; Havigerová,, Jana Marie (oponent) ; Drotár,, Peter (oponent) ; Mekyska, Jiří (vedoucí práce)
Graphomotor abilities (GA) represent a set of psychomotor activities that are executed during drawing and writing. The GA are prerequisites for mastering of elementary school skills, particularly writing. Children in 1 st and 2 nd grade can experience difficulties in execution of simple graphomotor tasks (GD) and later in 3 rd and 4 th grade even in handwriting tasks (HD). The disruption of processes involved in handwriting is generally called Developmental Dysgraphia (DD). The prevalence of DD in the Czech Republic is 3–5 %. To this day the DD is evaluated subjectively by teams of psychologists and special educationalist. Currently, an objective measuring tool that asses the properties of GD or HD is missing in practice. Consequently, this thesis is aiming to identify symptoms associated with graphomotor disabilities in school–aged children and design new parameters quantifying them. For this purpose, a new complex GA protocol was proposed (36 tasks), which represents an environment, where the identified symptoms can be manifested (24 symptoms). Moreover, 76 quantifying features were introduced. A new graphomotor difficulties rating scale (GDRS) was designed based on computerised analysis of handwriting. Finally, new online handwriting parameters based on advanced signal processing techniques were designed and tested, which can assess poor dexterity or unspecified motor clumsiness. The GDRS represents a novel and modern objective measurement tool, that is not yet available in the Czech Republic or in other countries. Its utilization will help in the modernization of DD diagnosis and in the remediation process. With proper research, it could be adapted into other languages as well. Moreover, the methodology can be used and optimized for other diseases, which affects GA, such as Autism, Attention Deficit Coordination Disorder (ADHD) or Developmental Coordination Disorder (DCD).
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Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities
Gavenčiak, M. ; Zvončák, V. ; Mekyska, J. ; Šafárová, Katarína ; Čunek, Lukáš ; Urbánek, Tomáš ; Havigerová, Jana Marie ; Bednářová, Jiřina ; Galáž, Z. ; Mucha, J.
Approximately 30–60 % of the time children spend in school is associated with handwriting. However, up to 30 % of them experience handwriting disabilities (HD), which lead to a decrease in their academic performance. Current HD assessment methods are not unified and show signs of subjectivity which can lead to misdiagnosis. The aim of this paper is to propose a new approach to objective HD assessment based on the principle of movement isochrony. For this purpose, we used a database of 137 children attending a primary school, who performed a transcription and dictation task, and who were associated with a BHK (Concise Evaluation Scale for Children's Handwriting) score. Employing a machine learning model, we were able to estimate this score with 18 % error. An interpretation of the model suggests that the isochrony-based features could bring new benefits to the objective assessment of HD.
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Research of Advanced Online Handwriting Analysis Methods with a Special Focus on Assessment of Graphomotor Disabilities in School-aged Children
Zvončák, Vojtěch ; Havigerová,, Jana Marie (oponent) ; Drotár,, Peter (oponent) ; Mekyska, Jiří (vedoucí práce)
Graphomotor abilities (GA) represent a set of psychomotor activities that are executed during drawing and writing. The GA are prerequisites for mastering of elementary school skills, particularly writing. Children in 1 st and 2 nd grade can experience difficulties in execution of simple graphomotor tasks (GD) and later in 3 rd and 4 th grade even in handwriting tasks (HD). The disruption of processes involved in handwriting is generally called Developmental Dysgraphia (DD). The prevalence of DD in the Czech Republic is 3–5 %. To this day the DD is evaluated subjectively by teams of psychologists and special educationalist. Currently, an objective measuring tool that asses the properties of GD or HD is missing in practice. Consequently, this thesis is aiming to identify symptoms associated with graphomotor disabilities in school–aged children and design new parameters quantifying them. For this purpose, a new complex GA protocol was proposed (36 tasks), which represents an environment, where the identified symptoms can be manifested (24 symptoms). Moreover, 76 quantifying features were introduced. A new graphomotor difficulties rating scale (GDRS) was designed based on computerised analysis of handwriting. Finally, new online handwriting parameters based on advanced signal processing techniques were designed and tested, which can assess poor dexterity or unspecified motor clumsiness. The GDRS represents a novel and modern objective measurement tool, that is not yet available in the Czech Republic or in other countries. Its utilization will help in the modernization of DD diagnosis and in the remediation process. With proper research, it could be adapted into other languages as well. Moreover, the methodology can be used and optimized for other diseases, which affects GA, such as Autism, Attention Deficit Coordination Disorder (ADHD) or Developmental Coordination Disorder (DCD).
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Systém poloautomatizované segmentace online písma
Gavenčiak, Michal ; Mekyska, Jiří (oponent) ; Zvončák, Vojtěch (vedoucí práce)
Vývojová dysgrafie postihuje 10-30% dětí školního věku, přesto v České republice neexistuje objektivní způsob její diagnózy, či určení její závažnosti. Proběhlé studie ukázaly, že lze k automatické diagnóze použít digitální data získaná pomocí digitalizujícího tabletu a stylusu. V rámci probíhající studie jsou získána data online písma obsahující informace o poloze, časové informaci, náklonu, přítlaku a azimutu stylusu. Tato data však nejsou připravena na další analýzu vzhledem k obsahu nespecifikovanému počtu cvičení v souborech. V rámci této práce jsou data analyzována a je navržen a implementován program sloužící k segmentaci těchto dat do celků cvičení, umožňující vizuální kontrolu práce programu.
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Developmental Dysgraphia Diagnosis Based On
Quantitative Analysis Of Online Handwriting
Zvončák, Vojťech
The prevalence of handwriting difficulties among school-aged children is around 10 – 30 %. Until now, there is no objective method to diagnose and rate developmental dysgraphia (DD) in Czech Republic. The goal of this study is to propose a new method of objective DD diagnosis based on quantitative analysis of online handwriting. For this purpose, we extracted a set of spatial, temporal, kinematic and dynamic features from three handwriting tasks. Consequently, we performed a correlation analysis between these features and score of handwriting proficiency screening questionaire (HPSQ), in order to identify parameters with a good discrimination power. Using random forests classifier in combination with quantification of alphabet writing task, we reached nearly 77% classification accuracy (75% sensitivity, 80% specificity). This pilot study proves the possibility of automatic DD diagnosis in children cohort writing with cursive letters.
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