Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs

23 January 2021

Papers citing "Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs"

7 / 7 papers shown

Title
Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings Sarah Laouedj Yuzhe Wang Jesus Villalba Thomas Thebaud Laureano Moro-Velazquez Najim Dehak 59 2 0 10 Feb 2025
A Perspective Analysis of Handwritten Signature Technology Moisés Díaz Miguel A. Ferrer D. Impedovo M. I. Malik G. Pirlo R. Plamondon 24 199 0 22 May 2024
Dynamically enhanced static handwriting representation for Parkinson's disease detection Moisés Díaz M. A. Ferrer-Ballester D. Impedovo G. Pirlo G. Vessio 40 86 0 22 May 2024
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters Miguel A. Ferrer Moisés Díaz Cristina Carmona-Duarte R. Plamondon 52 35 0 27 Jan 2024
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health Marcos Faúndez-Zanuy Julian Fierrez Miguel A. Ferrer Moisés Díaz Ruben Tolosana R. Plamondon 47 106 0 24 Feb 2022
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features C. D. Ríos-Urrego Juan Camilo Vásquez-Correa J. Vargas-Bonilla Elmar Nöth F. Lopera J. Orozco-Arroyave 44 67 0 13 Feb 2020
Drawing and Recognizing Chinese Characters with Recurrent Neural Network Xu-Yao Zhang Fei Yin Yanming Zhang Cheng-Lin Liu Yoshua Bengio 70 322 0 21 Jun 2016