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Privacy of online handwriting biometrics related to biomedical analysis

Privacy of online handwriting biometrics related to biomedical analysis

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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.

Chapter Contents:

  • 2.1 Introduction
  • 2.2 Online handwritten signals — an introduction
  • 2.2.1 In-air and on-surface movements
  • 2.3 Handwriting signals from biometrics to medical applications
  • 2.3.1 Biometric security applications
  • 2.3.2 Metadata applications
  • 2.3.3 Biometric health applications
  • 2.4 Security—health implications and concerns
  • 2.4.1 Security where health aspects influence biometric security
  • 2.4.2 Situations where health information can be extracted from security applications
  • 2.4.3 Situations where the identity information must be removed
  • 2.5 Summary and conclusions
  • References

Inspec keywords: handwritten character recognition; medical signal processing; handwriting recognition; data privacy

Other keywords: biomedical analysis; online handwriting biometrics privacy; biometric signals; online handwritten signals analysis

Subjects: Biomedical measurement and imaging; Biomedical engineering; Data security; Biology and medical computing; Computer vision and image processing techniques; Optical, image and video signal processing

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