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FAÚNDEZ ZANUY, M. MEKYSKA, J.
Original Title
Privacy of online handwriting biometrics related to biomedical analysis
Type
book chapter
Language
English
Original Abstract
Online handwritten signals analysis for biomedical applications has received lesser attention from the international scientific community than other biometric signals such as electroencephalogram (EEG), electrocardiogram (ECG), magnetic resonance imaging signals (MRI), speech, etc. However, handwritten signals are useful for biometric security applications, especially in the case of signature, but to support pathology diagnose/monitoring as well. Obviously, while utilising handwriting in one field, there are implications in the other one and privacy concerns can arise. A good example is a biometric security system that stores the whole biometric template. It is desirable to reduce the template to the relevant information required for security, removing those characteristics that can permit the identification of pathologies. In this paper, we summarize the main aspects of handwritten signals with special emphasis on medical applications (Alzheimer's disease, Parkinson's disease, mild cognitive impairment, essential tremor, depression, dysgraphia, etc.) and security. In addition, it is important to remark that health and security issues cannot be easily isolated, and an application in one field should take care of the other.
Keywords
biomedical analysis; online handwriting biometrics privacy; biometric signals; online handwritten signals analysis
Authors
FAÚNDEZ ZANUY, M.; MEKYSKA, J.
Released
1. 11. 2017
Publisher
The Institution of Engineering and Technology
Location
London
ISBN
9781785612077
Book
User-Centric Privacy and Security in Biometrics
Pages from
17
Pages to
39
Pages count
23
URL
http://dx.doi.org/10.1049/PBSE004E_ch2
BibTex
@inbook{BUT142217, author="Marcos {Faúndez Zanuy} and Jiří {Mekyska}", title="Privacy of online handwriting biometrics related to biomedical analysis", booktitle="User-Centric Privacy and Security in Biometrics", year="2017", publisher="The Institution of Engineering and Technology", address="London", pages="17--39", doi="10.1049/PBSE004E\{_}ch", isbn="9781785612077", url="http://dx.doi.org/10.1049/PBSE004E_ch2" }