… The research presented in this paper represents a contribution to the state-of-the-art on
sequence-based dynamic handwriting analysis for PD identification, extending our pilot study in …

… An overview of the existing models applied for PD detection through handwriting analysis
are summarized in Table 6. In [3, 16, 24] the authors have applied SVM models that are trained …

… study, we conducted a literature review of studies published until February 14, 2020, using
the PubMed and IEEE Xplore databases. A total of 209 studies were included, extracted for …

… systematic review is to provide a comprehensive review of automated Parkinson’s disease
(PD) detection … classification for brain imaging and handwriting analysis. The CNN model also …

… method to detect Parkinson’s disease, based on the segmentation of the online handwritten
… proposed approach in this article concerns the analysis of Arabic online handwriting. The …

… on the comprehensive literature review to diagnose a healthy or unhealthy person. … research
using speech, handwriting, MRI, and gait as input data for detecting Parkinson’s disease …

… Spirals that were obtained during Task #9 were further used for handwriting analysis. An …
Shill, “Trends in technology usage for parkinson’s disease assessment: A systematic review,” …

… previous research findings, handwriting analysis is … Analysis of handwriting by experts is a
widely used approach for identifying PD. Thus, a current focus of computer science research is …

… literature survey on the handwriting analysis to support PD diagnosis. Section III describes all
datasets used in this study. … two Parkinsonian handwriting datasets and discuss the results. …

… [17] proposed the Cartesian genetic programming-based classification approach for the
diagnosis of Parkinson’s disease using handwriting analysis. A set of handwritten features was …