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Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
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[Forensic graphology. Criminalistic aspect].

O E Roslova1, V Yu Vladimirov1, I A Tolmachev2

  • 1Academy of Management of the Ministry of Internal Affairs of the Russian Federation, Moscow, Russia.

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|June 18, 2025
PubMed
Summary
This summary is machine-generated.

This study enhances forensic graphology examinations for forged signatures by integrating forensic medicine principles. It proposes an expert experiment stage to improve the analysis of dynamic stereotypes and writing skills.

Keywords:
dynamic stereotypeevaluation of the graphological examination resultsexpert experimentidentification significance of the signpsychophysiologytwo-stage signature examination

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Area of Science:

  • Forensic Science
  • Forensic Medicine
  • Graphology

Context:

  • Forensic graphology examinations are crucial for verifying potentially forged signatures.
  • Current methodologies may face limitations with low identifying information content.
  • The integration of forensic medicine offers new epistemological prerequisites.

Purpose:

  • To explore the epistemological basis for using forensic medicine knowledge in graphology.
  • To propose a restructured methodology for forensic graphology examinations.
  • To legitimize the inclusion of an expert experiment stage.

Summary:

  • The article emphasizes the functional unity between forensic examination theory, graphology methodology, and forensic medicine.
  • It highlights the importance of dynamic stereotypes and writing motor skills in signature analysis.
  • The authors advocate for incorporating an expert experiment to enhance the cognition of these elements.

Impact:

  • The proposed restructuring aims to improve the accuracy and reliability of forensic graphology conclusions.
  • It facilitates a comprehensive approach by combining specialized knowledge from graphology and forensic medicine.
  • This research provides a methodological foundation for advanced forensic signature analysis.