This letter investigates different velocity-based signal processing techniques to the aim of Parkinson's disease classification through handwriting. It is showed that combining new velocity-based features with classic features improves state-of-the-art performance on the PaHaW dataset.

Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting

Impedovo, Donato
2019

Abstract

This letter investigates different velocity-based signal processing techniques to the aim of Parkinson's disease classification through handwriting. It is showed that combining new velocity-based features with classic features improves state-of-the-art performance on the PaHaW dataset.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/228067
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