A Preliminary Study on Aging Examining Online Handwriting
Marcos Faundez-Zanuy, Enric Sesa-Nogueras, Josep Roure-Alcob\'e, Anna, Esposito, Jiri Mekyska, Karmele L\'opez-de-Ipi\~na

TL;DR
This study investigates how online handwriting parameters vary with age to distinguish healthy aging from pathological conditions, aiming to improve diagnostic tools and support aging populations.
Contribution
It identifies stable and age-dependent online handwriting parameters, providing foundational data for differentiating healthy and pathological aging.
Findings
Certain handwriting parameters remain unaffected by age.
Changes in specific parameters may indicate motor or cognitive disorders.
Preliminary results support using these parameters for diagnostic purposes.
Abstract
In order to develop infocommunications devices so that the capabilities of the human brain may interact with the capabilities of any artificially cognitive system a deeper knowledge of aging is necessary. Especially if society does not want to exclude elder people and wants to develop automatic systems able to help and improve the quality of life of this group of population, healthy individuals as well as those with cognitive decline or other pathologies. This paper tries to establish the variations in handwriting tasks with the goal to obtain a better knowledge about aging. We present the correlation results between several parameters extracted from online handwriting and the age of the writers. It is based on BIOSECURID database, which consists of 400 people that provided several biometric traits, including online handwriting. The main idea is to identify those parameters that are…
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Taxonomy
MethodsAttentive Walk-Aggregating Graph Neural Network
