Browsing Articles by Subject "Machine learning"

Now showing items 1-2 of 2

    • Advanced parametrization of graphomotor difficulties in school-aged children 

      Galaz, Zoltan; Mucha, Ján; Zvončák, Vojtěch; Mekyska, Jiri; Smekal, Zdenek; Zvončáková, Katarína; Ondráčková, Anežka; Urbanek, Tomas; Havigerova, Jana Marie; Bednarova, Jirina; Faundez-Zanuy, Marcos (IEEE Acces. 2020 Jun 17;8:112883-112897, 2020-06-17)
      School-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to ...

    • Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset 

      Galaz, Zoltan; Drotar, Peter; Mekyska, Jiri; Gazda, Matej; Mucha, Jan; Zvoncak, Vojtech; Smekal, Zdenek; Faundez-Zanuy, Marcos; Castrillon, Reinel; Orozco-Arroyave, Juan Rafael; Rapcsak, Steven; Kincses, Tamas; Brabenec, Lubos; Rektorova, Irena (Frontiers in Neuroinformatics. 2022;(16):877139, 2022)
      Parkinson’s disease dysgraphia (PDYS), one of the earliest signs of Parkinson’s disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive ...