The present pilot study aims to analyze the characteristics of combined handwriting and drawing data by evaluating a wide range of kinematic and dynamic parameters across different graphomotor tasks, with the intention of supporting the implementation of online and remote systems for the early detection of cognitive decline markers. To this end, a total of 36 participants were included in the study, consisting of 8 individuals diagnosed with Alzheimer’s disease (AD), 9 with mild cognitive impairment (MCI) and 19 healthy controls (HC). Results show, on the one hand, that the combination of specific tasks and parameters enhances the discriminative power of handwriting analysis and, on the other hand, that performance declines
Detecting Cognitive Decline Through Handwriting: The Role of Task Complexity and Feature Selection
Cordasco G.;
2026
Abstract
The present pilot study aims to analyze the characteristics of combined handwriting and drawing data by evaluating a wide range of kinematic and dynamic parameters across different graphomotor tasks, with the intention of supporting the implementation of online and remote systems for the early detection of cognitive decline markers. To this end, a total of 36 participants were included in the study, consisting of 8 individuals diagnosed with Alzheimer’s disease (AD), 9 with mild cognitive impairment (MCI) and 19 healthy controls (HC). Results show, on the one hand, that the combination of specific tasks and parameters enhances the discriminative power of handwriting analysis and, on the other hand, that performance declinesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
