Editorial for the special issue on implicit biometric authentication and monitoring through Internet of Biometric Things (I-BIO)
Abstract
According to reliable forecasts, the expected number of connected digital devices could exceed 29 billion by 2022, of which 18 billion will be IoT devices. An important fraction of this number includes last generations mobile and wearable devices featuring an arsenal of advanced sensors (high speed/depth/multi-focal cameras, finger imaging, accelerometers, gyros, etc.), along with 5G communication capability and growing computing power. These collection of features makes them particularly suited to capture both static and dynamic biometrics, to continuosly monitor health signals and/or to provide information about the operating context. In summary, these capabilities will enable a new generation of Internet of Biometric Things (IoBT) approaches which will greatly extend the range and the target of "mainstream" biometric applications. This new generation of IoBT enabled applications will be aimed at a variety of application fields including, but not limited to, industry, home automation, military, healthcare, transportation, and community. Consequently, the proposal, implementation and experimentation of techniques and algorithms aimed at transparent acquisition and processing of biometrics and health signals in the context of ubiquitous IoBT-based user authentication and monitoring, is the key to outlining new application scenarios for mobile biometrics.
- Publication:
-
Pattern Recognition Letters
- Pub Date:
- July 2022
- DOI:
- 10.1016/j.patrec.2022.05.020
- Bibcode:
- 2022PaReL.159..211R