Abstract: Computer based systems, methods, and computer readable media for sensing and decoding a sequence of facial expression exhibited by an individual sender, in order to determine a message encoded by that sequence of the individual. Digital image sensor devices may capture facial images of a sending individual. An enrollment processes is used by which an enrolled message is associated with a sequence of facial expressions. A background model is used with relevant expression models to locate a region of interest of the individual's face, which models accommodate the stand-off placement of the image sensors relative to the individual. An expression identifier is used with the expression model to classify captured images as including an enrolled facial expression. The classified images may then be decoded to identify the message sent.

Abstract: Computer based systems, methods, and computer readable media for sensing and decoding a sequence of facial expression exhibited by an individual sender, in order to determine a message encoded by that sequence of the individual. Digital image sensor devices may capture facial images of a sending individual. An enrollment processes is used by which an enrolled message is associated with a sequence of facial expressions. A background model is used with relevant expression models to locate a region of interest of the individual's face, which models accommodate the stand-off placement of the image sensors relative to the individual. An expression identifier is used with the expression model to classify captured images as including an enrolled facial expression. The classified images may then be decoded to identify the message sent.

Abstract: A method of producing idiosyncratic electronic emissions fingerprints from an electronic device is disclosed wherein emissions produced by the electronic device are collected and converted into one or more digital electronic fingerprints. The method contemplates a variety of emissions, such as electromagnetic emissions (including radio frequency emissions) and vibrational emissions (including audio emissions). The emissions fingerprints of various types extracted from an electronic device can be combined into more complex emissions signatures, and/or they can be combined with conventional electronic fingerprints or other idiosyncratic identifying data. A drift-test method for compensation and correction of emissions fingerprint drift is also disclosed.