Abstract
In this chapter a brief overview on the field of biometrics will be given and the current advances in the field of behavioural biometrics will be discussed. We explain the need for the transition from the classic biometrics to the new concept of activity related biometrics (and specifically to the event triggered ones). We claim that the recognition capacity of various activities varies, according to the type of the activity and thus, we form an initial categorization to normal and abnormal activities. The collection of these biometric data is of high importance and thus, we suggest a dual approach to the anthropometrical tracking of the user, followed by a method for the intact extraction of invariant biometric features from the collected temporal data. The ethical issues risen from the collecting of personal data are thoroughly discussed. Possible applications and innovative usages of such behavioral biometrics are explored and presented in the current work.
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Abbreviations
- APF:
-
Annealed particle filter
- ATM:
-
Automatic teller machine
- CIT:
-
Circular integration radon transform
- DNA:
-
Deoxyribo nucleic acid
- GMM:
-
Gaussian mixture model
- HHMM:
-
Hierarchical hidden Markov models
- HMM:
-
Hidden Markov model
- MHI:
-
Motion history image
- PF:
-
Particle filter
- RIT:
-
Radial integration radon transform
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Drosou, A., Tzovaras, D. (2012). Activity and Event Related Biometrics. In: Mordini, E., Tzovaras, D. (eds) Second Generation Biometrics: The Ethical, Legal and Social Context. The International Library of Ethics, Law and Technology, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-3892-8_6
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