Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
arXiv:2202.12760 · doi:10.1007/s12559-020-09755-z
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.
24 pages
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Cited by in corpus (4)
- Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
- On the Handwriting Tasks' Analysis to Detect Fatigue
- On handwriting pressure normalization for interoperability of different acquisition stylus
- Exploring Facial Expressions and Affective Domains for Parkinson Detection