2 research outputs found
Advanced Parameterisation of Online Handwriting in Writers with Graphomotor Disabilities
Grafomotorick© obte (GD) vraznÄ ovlivuj kvalitu ivota kolnm vÄkem poÄnajc, kde se vyvjej grafomotorick© schopnosti, a do dchodov©ho vÄku. VÄasn diagnza tÄchto obt a terapeutick zsah maj velk vznam k jejich zlepen. Vzhledem k tomu, e GD souvis z vcermi symptomy v oblasti kinematiky, zkladn kinematick© parametry jako rychlost, zrychlen a vih prokzaly efektivn kvantizaci tÄchto symptom. Objektivn vpoÄetn syst©m podpory rozhodovn pro identifikaci a vyeten GD vak nen dostupn. A proto je hlavnm clem m© disertaÄn prce vzkum pokroÄil© metody parametrizace online psma pro analzu GD se specilnm zamÄenm na vyuit metod zlomkov©ho kalkulu. Tato prce je prvn, kter experimentuje s vyuitm derivac neceloÄseln©ho du (FD) pro analzu GD pomoc online psma zskan©ho od pacient s Parkinsonovou nemoc a u dÄt kolnho vÄku. Byla navrena a evaluovna nov metoda parametrizace online psma zaloena na FD vyuitm Grnwald-Letnikova pstupu. Bylo dokzno, e navren metoda vznamnÄ zlepuje diskriminaÄn slu a deskriptivn schopnosti v oblasti Parkinsonick© dysgrafie. StejnÄ tak metoda pozitivnÄ ovlivnila i nejmodernÄj techniky v oblasti analzy GD u dÄt kolnho vÄku. Vyvinut parametrizace byla optimalizovna s ohledem na vpoÄetn nroÄnost (a o 80 %) a tak© na vyladÄn du FD. Ke konci prce byly porovnny vcer© pstupy vpoÄtu FD, jmenovitÄ Riemann-Liouvillv, Caputv spoleÄnÄ z Grnwald-Letnikovm pstupem za Äelem identifikace tÄch nejvhodnÄjch pro jednotliv© oblasti analzy GD.Graphomotor disabilities (GD) significantly affect the quality of life beginning from the school-age, when the graphomotor skills are developed, until the elderly age. The timely diagnosis of these difficulties and therapeutic interventions are of great importance. As GD are associated with several symptoms in the field of kinematics, the basic kinematic features such as velocity, acceleration, and jerk were proved to effectively quantify these symptoms. Nevertheless, an objective computerized decision support system for the identification and assessment of GD is still missing. Therefore, the main objective of my dissertation is the research of an advanced online handwriting parametrization utilized in the field of GD analysis, with a special focus on methods based on fractional calculus. This work is the first to experiment with fractional-order derivatives (FD) in the GD analysis by online handwriting of Parkinsonâs disease (PD) patients and school-age children. A new online handwriting parametrization technique based on the Grnwald-Letnikov approach of FD has been proposed and evaluated. In the field of PD dysgraphia, a significant improvement in the discrimination power and descriptive abilities was proven. Similarly, the proposed methodology improved current state-of-the-art techniques of GD analysis in school-aged children. The newly designed parametrization has been optimized in the scope of the computational performance (up to 80 %) as well as in FD order fine-tuning. Finally, various FD-approaches were compared, namely Riemann-Liouville, Caputoâs, together with Grnwald-Letnikov approximation to identify the most suitable approach for particular areas of GD analysis.
Character Recognition
Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing, feature extraction or classification, to new applications including human-computer interfaces. The goal of this book is to provide a reference source for academic research and for professionals working in the character recognition field