Abstract:
Disclosed herein are example embodiments for behavioral fingerprinting with retail monitoring. For certain example embodiments, one or more devices may: (i) communicate for at least one interaction related to a user of a user device in a behavioral fingerprint habitat; or (ii) administer at least an aspect of at least one interaction related to a user of a user device in a behavioral fingerprint habitat. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.
Abstract:
A system for detecting and responding to an intruding camera. The system includes an electronic media display device having a screen configured to display content, a sensor, and a processing circuit. The processing circuit is configured to obtain information from the sensor, analyze the information to determine a presence of a camera, and edit any displayed content in response to the presence of the camera.
Abstract:
An embodiment or embodiments of an electronic device can comprise an input interface and a hardware component coupled to the input interface. The input interface can be operable to receive a plurality of taint indicators corresponding to at least one of a plurality of taints indicative of potential security risk which are injected from at least one of a plurality of resources. The hardware component can be operable to track the plurality of taints.
Abstract:
According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.
Abstract:
Disclosed herein are example embodiments for behavioral fingerprinting via inferred personal relation. For certain example embodiments, at least one indication of personal relation for at least one authorized user may be inferred via at least one user-device interaction, and the at least one indication of personal relation may be incorporated into at least one behavioral fingerprint that is associated with the at least one authorized user, with the at least one behavioral fingerprint including one or more indicators of utilization of one or more user devices by the at least one authorized user.
Abstract:
According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.
Abstract:
Systems and methods for dynamic customization of advertising content are described. In some implementations, a process may include obtaining at least one customization input based at least partially on a personalizing information corresponding to at least one user, modifying at least part of an audio-visual content in accordance with the at least one customization input to create a dynamically customized audio-visual content, and providing the dynamically-customized audio-visual content.
Abstract:
Systems and methods for dynamic customization of advertising content are described. In some implementations, a process may include providing at least one selection signal indicative of a viewer preference, receiving a dynamically customized audio-visual content including a dynamically customized advertising content portion having at least one revised content portion customized in accordance with the at least one selection signal, and displaying the dynamically-customized audio-visual content.
Abstract:
Systems and methods for dynamic customization of advertising content are described. In some implementations, a process may include receiving at least one audio-visual core portion, receiving at least one advertising content portion receiving at least one advertising content portion, receiving at least one selection signal indicative of a viewer preference, modifying at least one of the audio-visual core portion or the at least one advertising content portion in accordance with the at least one selection signal to create a dynamically customized audio-visual content, and outputting the dynamically-customized audio-visual content.
Abstract:
Disclosed herein are example embodiments for environmentally-responsive behavioral fingerprinting. For certain example embodiments, one or more devices may: (i) obtain at least one environmental parameter relating to an event to potentially occur in conjunction with at least one user device; or (ii) perform at least one analysis for the event based at least partially on the at least one environmental parameter and at least partially on at least one utilization indicator of a behavioral fingerprint that is associated with the at least one user device. However, claimed subject matter is not limited to any particular described embodiments, implementations, examples, or so forth.