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. The portable electronic device may then generate a proposed semantic label for the physical subdivision.
Abstract:
Systems and methods may provide for conducting an interest analysis of data associated with a user, wherein the interest analysis distinguishes between abstract interests and social interests. Additionally, one or more recommendations may be generated for the user based on the interest analysis and a current context of the user, wherein the one or more recommendations may be presented to the user. In one example, the abstract interests identify types of topics and types of objects, and the social interests identify types of social groups.
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. The portable electronic device may then generate a proposed semantic label for the physical subdivision.
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:
A system and method for device action and configuration based on user context detection from sensors in peripheral devices are disclosed. A mobile device includes an interface to receive sensor data from a sensor of a wearable peripheral device worn by a user. The mobile device further includes at least one processor to: identify an activity engaged in by the user based on the sensor data, detect a completion of the activity based on the sensor data, and configure the mobile device to generate a notification to the user in response to the detection of the completion of the activity.
Abstract:
A technology is described for detecting a mechanical device. An example method may include retrieving magnetometer data generated by a magnetometer coupled to a mobile device. Magnetic features may be extracted from the magnetometer data, where the magnetometer data may be associated with magnetic field distortion patterns generated by mechanical motions of a mechanical device. Accelerometer data generated by an accelerometer coupled to the mobile device may be retrieved. Acceleration features associated with vibration patterns generated by the mechanical motions of the mechanical device may be extracted from the accelerometer data. Thereafter, the mechanical device may be identified using the magnetic features and the acceleration features.
Abstract:
In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.
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:
Systems and methods may provide for conducting an interest analysis of data associated with a user, wherein the interest analysis distinguishes between abstract interests and social interests. Additionally, one or more recommendations may be generated for the user based on the interest analysis and a current context of the user, wherein the one or more recommendations may be presented to the user. In one example, the abstract interests identify types of topics and types of objects, and the social interests identify types of social groups.
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.