Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one social network message from at least one member of a network; disambiguating the at least one search term including associating the at least one search term with at least one of network-participation identifier data or device-identifier data; and presenting the sender profile in association with the at least one.

Abstract: Systems and methods are described relating to accepting a query from a radio-frequency identification object associated with at least one mobile device; and presenting an indication of location of the at least one mobile device at least partially based on the query response from the radio-frequency identification object associated with the at least one mobile device. Additionally, systems and methods are described relating to means for accepting a query from a radio-frequency identification object associated with at least one mobile device; and means for presenting an indication of location of the at least one mobile device at least partially based on the query response from the radio-frequency identification object associated with the at least one mobile device.

Abstract: Systems and methods are described relating to determining a specified time period of non-movement in a mobile device and presenting an indication of location of the mobile device at least partially based on the specified time period of non-movement. Additionally, systems and methods are described relating to means for determining a specified time period of non-movement in a mobile device and means for presenting an indication of location of the mobile device at least partially based on the specified time period of non-movement.

Abstract: Methods, apparatuses, computer program products, devices and systems are described that carry out accepting at least one search term corresponding to at least one member of a network; disambiguating the at least one search term including associating the at least one search term with at least one of network-participation identifier data or device-identifier data; and presenting a disambiguated search term at least partly based on at least one of the network-participation identifier data or the device-identifier data.

Abstract: Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to enhance a user's ability to operate or function in a transportation-related context as a pedestrian or a vehicle operator. In one embodiment, the AEFS is configured perform vehicular threat detection based at least in part on analyzing audio signals. An example AEFS receives data that represents an audio signal emitted by a vehicle. The AEFS analyzes the audio signal to determine vehicular threat information, such as that the vehicle may collide with the user. The AEFS then informs the user of the determined vehicular threat information, such as by transmitting a warning to a wearable device configured to present the warning to the user.

Abstract: Systems and methods are described relating to accepting an indication of an inertial impact associated with at least one mobile device; and presenting an indication of location of the at least one mobile device at least partially based on accepting the indication of the inertial impact associated with the at least one mobile device. Additionally, systems and methods are described relating to means for accepting an indication of an inertial impact associated with at least one mobile device; and means for presenting an indication of location of the at least one mobile device at least partially based on accepting the indication of the inertial impact associated with the at least one mobile device.

Abstract: Disclosed herein are example embodiments for multi-device behavioral fingerprinting by a user device or a server device. For certain example embodiments, at least one device may obtain at least one behavioral fingerprint that is associated with at least one authorized user, with the at least one behavioral fingerprint including one or more indicators of utilization of two or more user devices by the at least one authorized user. The at least one device may perform at least one authentication-related operation based at least partially on the at least one behavioral fingerprint.

Abstract: Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to enhance a user's ability to operate or function in a transportation-related context as a pedestrian or a vehicle operator. In one embodiment, the AEFS is configured perform vehicular threat detection based at least in part on analyzing image data. An example AEFS receives data that represents an image of a vehicle. The AEFS analyzes the received data to determine vehicular threat information, such as that the vehicle may collide with the user. The AEFS then informs the user of the determined vehicular threat information, such as by transmitting a warning to a wearable device configured to present the warning to the user.

Abstract: Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to automatically translate utterances from a first to a second language, based on speaker-related information determined from speaker utterances and/or other sources of information. In one embodiment, the AEFS receives data that represents an utterance of a speaker in a first language, the utterance obtained by a hearing device of the user, such as a hearing aid, smart phone, media player/device, or the like. The AEFS then determines speaker-related information associated with the identified speaker, such as by determining demographic information (e.g., gender, language, country/region of origin) and/or identifying information (e.g., name or title) of the speaker. The AEFS translates the utterance in the first language into a message in a second language, based on the determined speaker-related information.

Abstract: Described embodiments include an apparatus and a method. In an apparatus, a tracking circuit detects a segment of a path defined by a user contact point moving across a touch sensitive display. An analysis circuit determines a parameter descriptive of a motion of the user contact point during the detected segment. A selection circuit selects a time-interval forecasted to improve a correspondence between a predicted next segment of the path and a subsequently detected next segment of the path. A filter predicts in response to the motion parameter and the selected time-interval a next segment of the path. A compensation circuit initiates a display of the detected segment of the path and the predicted next segment of the path. An updating circuit initiates an update of the detected segment of the path and the predicted next segment of the path as the user contact point moves across the display.

Abstract: Described embodiments include an apparatus and a method. In an apparatus, a tracking circuit detects a segment of a path defined by a user contact point moving across a touch sensitive display. A filter predicts a next contiguous segment of the path defined by the user contact point in response to an adaptively learned motion parameter. The adaptively learned motion parameter is based on at least two previous instances of the determined motion parameters respectively descriptive of a motion of a user contact point during its movement across the touch sensitive display. A compensation circuit initiates a display by the touch sensitive display of the detected segment of the path and the predicted next contiguous segment of the path. An updating circuit updates the detected segment of the path and the predicted next contiguous segment of the path as the user contact point moves across the touch sensitive display.

Abstract: Described embodiments include an apparatus and a method. In an apparatus, a touch tracking circuit detects a segment of a path defined by a user contact point moving across a touch sensitive display. A motion analysis circuit determines a parameter descriptive of a motion of the user contact point during its movement across the detected segment of the path (hereafter “motion parameter”). A filter predicts in response to the motion parameter a next contiguous segment of the path defined by the user-contact point moving across the touch sensitive display. A compensation circuit initiates a display by the touch sensitive display of the detected segment of the path and the predicted next segment of the path. An updating circuit initiates an update of the detected segment of the path and the predicted next contiguous segment of the path as the user contact point moves across the touch sensitive display.

Abstract: An electronic device may include a touch screen electronic display configured to offset and/or shift the contact locations of touch implements and/or displayed content based on one or more calculated parallax values. The parallax values may be associated with the viewing angle of an operator relative to the display of the electronic device. In various embodiments, the parallax value(s) may be calculated using three-dimensional location sensors, an angle of inclination of a touch implement, and/or one or more displayed calibration objects. Parallax values may be utilized to remap contact locations by a touch implement, shift and/or offset displayed content, and/or perform other transformations as described herein. A stereoscopically displayed content may be offset such that a default display plane is coplanar with a touch surface rather than a display surface. Contacts by a finger may be remapped using portions of the contact region and/or a centroid of the contact region.

Abstract: Systems and methods are described relating to accepting a mobile device location query using digital signal processing and presenting an indication of location of the mobile device at least partially based on receiving the location query. Additionally, systems and methods are described relating to means for accepting a mobile device location query using digital signal processing and means for presenting an indication of location of the mobile device at least partially based on receiving the location query.

Abstract: Disclosed herein are example embodiments for behavioral fingerprinting via derived personal relation. For certain example embodiments, at least one indication of personal relation for at least one authorized user may be derived 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, 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: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to determine and present speaker-related information based on speaker utterances. In one embodiment, the AEFS receives data that represents an utterance of a speaker received by a hearing device of the user, such as a hearing aid, smart phone, media player/device, or the like. The AEFS identifies the speaker based on the received data, such as by performing speaker recognition. The AEFS determines speaker-related information associated with the identified speaker, such as by determining an identifier (e.g., name or title) of the speaker, by locating an information item (e.g., an email message, document) associated with the speaker, or the like. The AEFS then informs the user of the speaker-related information, such as by presenting the speaker-related information on a display of the hearing device or some other device accessible to the user.

Abstract: A computationally-implemented method, for certain example embodiments, may include, but is not limited to: identifying a network connection coupling a computer server to a computing device; and transmitting, via the network connection, a behavioral fingerprint associated with an authorized user of the computing device, the behavioral fingerprint providing at least one status of the authorized user with respect to the computing device. In addition to the foregoing, other example aspects are presented in the claims, drawings, and written description forming a part of the present disclosure.

Abstract: An electronic device may include a touch screen electronic display configured to offset and/or shift the contact locations of touch implements and/or displayed content based on one or more calculated parallax values. The parallax values may be associated with the viewing angle of an operator relative to the display of the electronic device. In various embodiments, the parallax value(s) may be calculated using three-dimensional location sensors, an angle of inclination of a touch implement, and/or one or more displayed calibration objects. Parallax values may be utilized to remap contact locations by a touch implement, shift and/or offset displayed content, and/or perform other transformations as described herein. A stereoscopically displayed content may be offset such that a default display plane is coplanar with a touch surface rather than a display surface. Contacts by a finger may be remapped using portions of the contact region and/or a centroid of the contact region.

Abstract: A stylus for use as an input device automatically switches its mode of operation.