Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health

Abstract

Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields. Methods- In particular, we focus on the main achievements and challenges that should be addressed by the scientific community, providing a guide document for future research. Conclusions- Among all the points discussed in this article, we remark the importance of considering security, health, and metadata from a joint perspective. This is especially critical due to the double use possibilities of these behavioral signals.

arXiv comment24 pages

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Cited by in corpus (13)

• Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
• DeepSign: Deep On-Line Signature Verification
• A Survey of Privacy Vulnerabilities of Mobile Device Sensors
• Explainable offline automatic signature verifier to support forensic handwriting examiners
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• Offline Text-Independent Writer Identification based on word level data
• Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach
• On the Handwriting Tasks' Analysis to Detect Fatigue
• On handwriting pressure normalization for interoperability of different acquisition stylus
• On the use of first and second derivative approximations for biometric online signature recognition
• Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic models
• Exploring Facial Expressions and Affective Domains for Parkinson Detection
• On the analysis of saturated pressure to detect fatigue