A correlational study between signature, writing abilities and decision-making capacity among people with initial cognitive impairment

Renier, M; Gnoato, Francesca; Tessari, Alessia; Formilan, M.; Busonera, F; Albanese, Paul J.; Sartori, Giuseppe; Cester, Alberto

doi:10.1007/s40520-016-0549-y

Cited by 16 publications

(18 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Authors conclude the work stating that dementia has residual impact on signature formation. A similar finding is reported by Reiner et al [82] which acquired two samples of signature and a spontaneous writing from 36 persons with Mild Cognitive Impairment (MCI) diagnosis and 38 HC. Cognitive functions in decisionmaking were also evaluated: while a significant correlation between spontaneous writing and neuropsychological test results was observed, signature deterioration did not appear to be correlated with the level of cognitive decline.…”

Section: Handwritten Taskssupporting

confidence: 86%

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

2021

View full text Add to dashboard Cite

Background: An advantageous property of behavioural signals (e.g. handwriting), in contrast to morphological ones, such as iris, fingerprint, hand geometry, etc., is the possibility to ask a user for a very rich amount of different tasks.Methods: This article summarises recent findings and applications of different handwriting/drawing tasks in the field of security and health. More specifically, it is focused on on-line handwriting and hand-based interaction, i.e. signals that utilise a digitizing device (specific devoted or general-purpose tablet/smartphone) during the realization of the tasks. Such devices permit the acquisition of onsurface dynamics as well as in-air movements in time, thus providing complex and richer information when compared to the conventional "pen and paper" method.Conclusions: Although the scientific literature reports a wide range of tasks and applications, in this paper, we summarize only those providing competitive results (e.g. in terms of discrimination power) and having a significant impact in the field. KeywordsDrawing • Online handwriting • Signature • Tasks • Touch Dynamics 1 Introduction Signature/handwriting recognition can be split into two categories: off-line and online [2, 24, 90]. In the former case, just the result of the signature/writing (i.e. static

show abstract

Section: Handwritten Taskssupporting

confidence: 86%

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

2021

View full text Add to dashboard Cite

show abstract

“…The best classification performance was obtained by using a Bagging CART (classification and regression tree) classifier. It is worth noting that some contrasting result was obtained by Renier et al [103], who found no significant correlation between signature deterioration and level of cognitive decline.…”

Section: Disease Diagnosismentioning

confidence: 77%

Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review

Vessio

2019

Applied Sciences

View full text Add to dashboard Cite

Studying the effects of neurodegeneration on handwriting has emerged as an interdisciplinary research topic and has attracted considerable interest from psychologists to neuroscientists and from physicians to computer scientists. The complexity of handwriting, in fact, appears to be sensitive to age-related impairments in cognitive functioning; thus, analyzing handwriting in elderly people may facilitate the diagnosis and monitoring of these impairments. A large body of knowledge has been collected in the last thirty years thanks to the advent of new technologies which allow researchers to investigate not only the static characteristics of handwriting but also especially the dynamic aspects of the handwriting process. The present paper aims at providing an overview of the most relevant literature investigating the application of dynamic handwriting analysis in neurodegenerative disease assessment. The focus, in particular, is on Parkinon’s disease (PD) and Alzheimer’s disease (AD), as the two most widespread neurodegenerative disorders. More specifically, the studies taken into account are grouped in accordance with three main research questions: disease insight, disease monitoring, and disease diagnosis. The net result is that dynamic handwriting analysis is a powerful, noninvasive, and low-cost tool for real-time diagnosis and follow-up of PD and AD. In conclusion of the paper, open issues still demanding further research are highlighted.

show abstract

“…He observed that the patient reduplicated the same syllable and forgot some others. Recently, several studies have analyzed the writing process dynamics to identify and monitor AD, revealing that writing, persevering, substitution, misalignments of strokes, link and spacing errors indicate a deterioration of fine motor skills and of coordination [36][37][38] .…”

Section: Alzheimer's Disease and Mild Cognitive Impairmentsmentioning

confidence: 99%

“…Moderate AD subjects differ from mild subjects and controls for all written and verbal tasks; Grapho-motor impairments come in addition to the lexical and phonological impairments. 3 [37] ; [38] .…”

Section: Alzheimer's Disease and Mild Cognitive Impairmentsmentioning

confidence: 99%

Handwriting analysis to support neurodegenerative diseases diagnosis: A review

Stefano

Fontanella

Impedovo

et al. 2019

Pattern Recognition Letters

121

View full text Add to dashboard Cite

A correlational study between signature, writing abilities and decision-making capacity among people with initial cognitive impairment

Abstract: The analysis of spontaneous writing can be a reliable aid in cases of retrospective evaluation of cognitive integrity. On the other side, the ability to sign is not an index of cognitive integrity.

Cited by 16 publications

References 29 publications

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

Online Handwriting, Signature and Touch Dynamics: Tasks and Potential Applications in the Field of Security and Health

Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review

Handwriting analysis to support neurodegenerative diseases diagnosis: A review

Contact Info

Product

Resources

About