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Data Behind Mobile Behavioural Biometrics – a Survey

Eglitis, Teodors, Guest, Richard, Deravi, Farzin (2020) Data Behind Mobile Behavioural Biometrics – a Survey. IET Biometrics, . ISSN 2047-4938. E-ISSN 2047-4946. (doi:10.1049/iet-bmt.2018.5174) (KAR id:81015)


Behavioural biometrics are becoming more and more popular. It is hard to find a sensor that is embedded in a mobile/wearable device, which can’t be exploited to extract behavioural biometric data. In this paper, we investigate data in behavioural biometrics and how this data is used in experiments, especially examining papers that introduce new datasets. We will not examine performance accomplished by the algorithms used since a system’s performance is enormously affected by the data used, its amount and quality. Altogether, 32 papers are examined, assessing how often they are cited, have databases published, what modality data are collected, and how the data is used. We offer a roadmap that should be taken into account when designing behavioural data collection and using collected data. We further look at the General Data Protection Regulation, and its significance to the scientific research in the field of biometrics. It is possible to conclude that there is a need for publicly available datasets with comprehensive experimental protocols, similarly established in facial recognition.

Item Type: Article
DOI/Identification number: 10.1049/iet-bmt.2018.5174
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Farzin Deravi
Date Deposited: 27 Apr 2020 14:15 UTC
Last Modified: 04 Mar 2024 17:33 UTC
Resource URI: (The current URI for this page, for reference purposes)

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