Abstract: A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located.

Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison.

Abstract: A mechanism is described for facilitating personal assistance for curation of multimedia and generation of stories at computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving, by one or more capturing/sensing components at a computing device, one or more media items relating to an event, and capturing a theme from the one or more media items, where the theme is captured based on at least one of activities, textual content, and scenes associated with the event. The method may further include forming a plurality of story elements to generate a story relating to the event, where the plurality of story elements are formed based on at least one of one or more characters, the theme associated with the event, and one or more emotions associated with the one or more characters, wherein the story is presented, via one or more display devices, to one or more users having access to the one or more display devices.

Abstract: A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located.

Abstract: System and techniques secure group data exchange are described herein. A template may be obtained from local store. The template defines data segments and operations on data segments. A data segment definition may be extracted from the template. The data segment definition including a set of demographic values. An external store may be queried for external data segments with a definition including at least one demographic value from the set of demographic values. The data segments include an owner entity. A scenario may be executed in accordance with the template using a local data segment and the external data segments to produce an experimental result. The experimental result may be communicated to the owner entity.

Abstract: Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.

Abstract: Technologies for light exposure analysis include a computer configured to collect light data of an environment and a remote computer communicatively coupled to the computer. The remote computer is configured to receive/retrieve health information for one or more users and analyze the health information to generate a health profile for each of the one or more users. Additionally, the remote computer is configured to determine whether any correlations exist between the health profiles and the light data. The remote computer is further configured to analyze the collected light data against one or more health profiles to determine a desired lighting condition for a user based at least in part on the correlations between the health profiles and the light data. Other embodiments are described and claimed.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.

Abstract: A mechanism is described for facilitating personal assistance for curation of multimedia and generation of stories at computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving, by one or more capturing/sensing components at a computing device, one or more media items relating to an event, and capturing a theme from the one or more media items, where the theme is captured based on at least one of activities, textual content, and scenes associated with the event. The method may further include forming a plurality of story elements to generate a story relating to the event, where the plurality of story elements are formed based on at least one of one or more characters, the theme associated with the event, and one or more emotions associated with the one or more characters, wherein the story is presented, via one or more display devices, to one or more users having access to the one or more display devices.

Abstract: Embodiments may comprise logic such as hardware and/or code to map content of a device such as a mobile device, a laptop, a desktop, or a server, to a two dimensional field or table and map user poses or movements to the coordinates within the table to offer quick access to the content by a user. Many embodiments, for example, utilize three wireless peripherals such as a watch, ring, and headset connected to a mobile Internet device (MID) comprising an audible user interface and an auditory mapper to access to the content. The audible user interface may communicatively couple with the peripherals to receive pose data that describes the motion or movements associated with one or more of the peripherals and to provide feedback such as audible items and, in some embodiments, other feedback.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.

Abstract: Technologies are presented that provide collaborative context-based user tracking and communications. A method of tracking communication options may include receiving, from one or more user devices of a user, user proximity information that indicates whether the user is in proximity of the one or more user devices; receiving, from the user devices, tracking loss warnings that indicate that loss of capabilities to track the user by respective user devices may be imminent; receiving, from the user devices, secondary device proximity information that indicates whether the user device is in proximity of one or more secondary devices; and receiving, from the secondary devices, additional user proximity information that indicates whether the user is in proximity of the one or more secondary devices. The method may further include dynamically determining from the received information which of the user devices and secondary devices are able to provide communications to the user.

Abstract: A portable consumer device, such as a mobile phone or a tablet computer, may be configured to collect measurements data associated with at least one of movement of the portable consumer device or orientation of the portable consumer device, as well as data associated with an external environment of the portable consumer device. The collected data may be evaluated in order to determine motion of the portable consumer device over time and contextual information associated with the portable consumer device. A user activity may be determined based upon the determined motion and the determined contextual information. As desired, the user activity may be evaluated in association with a suitable application scenario, such as a gaming application scenario.

Abstract: Apparatuses, systems, media and methods may provide for environment actuation by one or more augmented reality elements. A location module may determine a location of one or more networked devices in a real space and/or establish a location of the one or more augmented reality elements in a virtual space, which may be mapped to the real space. A coordinator module may coordinate a virtual action in the virtual space of the one or more augmented reality elements with an actuation event by the one or more networked devices in the real space. The actuation event may correspond to the virtual action in the virtual space and be discernible in the real space.

Abstract: Embodiments of apparatus and methods for capturing and generating user experiences are described. In embodiments, an apparatus may include a processor. The apparatus may also include a data storage module, coupled with the processor, to store sensor data collected by a plurality of sensors attached to one or more devices. The apparatus may further include an experience correlation module, coupled with the data storage module, to associate at least a portion of the sensor data with a user experience based at least in part on one or more rules identifying the user experience, to enable regenerating at least a part of the user experience for a user based at least in part on the portion of the sensor data. Other embodiments may be described and/or claimed.

Abstract: Various system and methods for selecting a set of contacts for sharing with an application. An apparatus comprises a contact selection module, an application analysis module, and a contact manager module. The contact selection module receives a request at a computing device, from an application, to access contacts stored on the computing device. The application analysis module determines a set of contexts of the application. The contact manager module generate a a set of contacts to share with the application based on the set of contexts, wherein the set of contacts have contexts correlated with the set of contexts of the application; and grants access to the set of contacts to the application.

Abstract: A data processing system includes components for providing a pleasant user experience. Those components may include a family interaction engine that provides a family channel. The family interaction engine may provide for creation of a user group. The family channel may present content of interest to multiple users in the user group. When a user is detected near the data processing system, the family interaction engine may automatically present content of interest to that user. When used for presenting media content, the data processing system may also cause supplemental data to automatically be presented, wherein the supplemental data is relevant to the media content and to a predetermined interest of the user. The data processing system may also provide a ranked list of applications for potential activation by the user. The applications may be ordered based on the current context. Other embodiments are described and claimed.

Abstract: A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A particular embodiment includes: a peripheral device including one or more sensors to produce sensor data; and logic, at least a portion of which is partially implemented in hardware, the logic configured to determine a context from the sensor data and to perform at least one action based on the determined context, the at least one action including modifying a configuration in a mobile device for sending notifications to a user.