  This study demonstrates how facial biometrics, acquired using multi-spectral
sensors, such as RGB, depth, and infrared, assist the data accumulation in the
process of authorizing users of automated and semi-automated access systems.
This data serves the purposes of person authentication, as well as facial
temperature estimation. We utilize depth data taken using an inexpensive RGB-D
sensor to find the head pose of a subject. This allows the selection of video
frames containing a frontal-view head pose for face recognition and face
temperature reading. Usage of the frontal-view frames improves the efficiency
of face recognition while the corresponding synchronized IR video frames allow
for more efficient temperature estimation for facial regions of interest. In
addition, this study reports emerging applications of biometrics in biomedical
and health care solutions. Including surveys of recent pilot projects,
involving new sensors of biometric data and new applications of human
physiological and behavioral biometrics. It also shows the new and promising
horizons of using biometrics in natural and contactless control interfaces for
surgical control, rehabilitation and accessibility.
