
Facial biometrics for situational awareness systems
Author(s) -
Poursaberi Ahmad,
Vana Jan,
Mráček Štěpán,
Dvora Radim,
Yanushkevich Svetla.,
Drahansky Martin,
Shmerko Vlad P.,
Gavrilova Marina L.
Publication year - 2013
Publication title -
iet biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 28
ISSN - 2047-4946
DOI - 10.1049/iet-bmt.2012.0065
Subject(s) - biometrics , computer science , facial recognition system , facial expression , situational ethics , situation awareness , face (sociological concept) , decision support system , human–computer interaction , artificial intelligence , pattern recognition (psychology) , psychology , social psychology , social science , sociology , engineering , aerospace engineering
This study contributes to developing the concept of decision‐making support in biometric‐based situational awareness systems. Such systems assist users in gathering and analysing biometric data, and support the decision‐making on the human behavioural pattern and/or authentication. As an example, the authors consider a facial biometric assistant that functions based on multi‐spectral biometrics in visible and infrared bands; it involves facial expression recognition, face recognition in both spectra, as well as estimation of physiological parameters. The authors also investigate usage of facial biometrics for the semantic representation for advanced decision‐making.