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Visualitzant per matèria "Handwriting analysis"

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    • 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 ...

    • Handwriting-based gender classification using robotic and machine learning models 

      Aleman, Belen E.; Diaz, Moises; Ferrer, Miguel A; Quintana, Jose J.; Faundez-Zanuy, Marcos (Cognitive Computation. 2025;17:122, 2025)
      Handwriting analysis provides insights into motor control and cognitive processes, with potential differences arising from biological gender and neurological conditions such as Parkinson’s disease (PD). ...