Abstract
Neurodegenerative disease assessment with handwriting has been shown to be effective. In this exploratory analysis, several features are extracted and tested on different tasks of the novel HAND-UNIBA dataset. Results show what are the most important kinematic features and the most significant tasks for neurodegenerative disease assessment through handwriting.
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Dentamaro, V., Impedovo, D., Pirlo, G. (2021). An Analysis of Tasks and Features for Neuro-Degenerative Disease Assessment by Handwriting. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12661. Springer, Cham. https://doi.org/10.1007/978-3-030-68763-2_41
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