Cargando…
Intelligent Sensory Pen for Aiding in the Diagnosis of Parkinson’s Disease from Dynamic Handwriting Analysis
In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson’s disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen...
Autores principales: | Júnior, Eugênio Peixoto, Delmiro, Italo L. D., Magaia, Naercio, Maia, Fernanda M., Hassan, Mohammad Mehedi, Albuquerque, Victor Hugo C., Fortino, Giancarlo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602671/ https://www.ncbi.nlm.nih.gov/pubmed/33076436 http://dx.doi.org/10.3390/s20205840 |
Ejemplares similares
-
Pen-grip kinetics in children with and without handwriting difficulties
por: Lin, Yu-Chen, et al.
Publicado: (2022) -
Quantitative evaluation of handwriting: factors that affect pen operating
skills
por: Horie, Sho, et al.
Publicado: (2018) -
Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification
por: Hu, Qinhua, et al.
Publicado: (2022) -
Learning Handwriting: Factors Affecting Pen-Movement Fluency in Beginning Writers
por: Fitjar, Camilla L., et al.
Publicado: (2021) -
Basic and supplementary sensory feedback in handwriting
por: Danna, Jérémy, et al.
Publicado: (2015)