Abstract:
An embodiment of the present invention provides a method of using probabilistic techniques in trending and profiling of user behavior in order to offer recommendations, comprising detecting patterns in user behavior over time thereby enabling a personal device associated with said user to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.
Abstract:
Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s)..
Abstract:
The present disclosure provides techniques for automatically changing device display orientation. A computing device includes a display and an inertial measurement unit (IMU) to detect changes in computing device orientation. The computing device also includes a driver to change an orientation of the display when a change in orientation of the computing device is detected by the IMU. A camera can be used to track user eye position in response to detection of a change in orientation of the computing device by the IMU.
Abstract:
Systems and methods for receiving a communication on one or more user devices within a vehicle and redirecting the communications based at least in part on one or more user profiles associated with occupants of the vehicle is disclosed. The redirection of the communication may further be based at least in part on one or more sensor signals or a drive characteristic associated with the vehicle.
Abstract:
Systems and methods to receive content and generate a playlist of content based at least in part on content interests and/or preferences of occupants of a vehicle is disclosed. The playlist may further be generated based on user interests and/or preferences of multiple occupants of the vehicle. In addition, a drive context of the vehicle may be used in the selection of content for receiving and/or rendering.
Abstract:
A method may include calculating a first distance between first and second devices and determining a direction of a movement of the first device. The method may further include calculating a second distance between the first and second devices after the movement of the first device and determining the relative position of the first device with respect to the second device based on the direction of the movement, the first distance, and the second distance.
Abstract:
Systems and methods may provide for determining a usage configuration of a wearable device and setting an activation state of an air conduction speaker of the wearable device based at least in part on the usage configuration. Additionally, an activation state of a tissue conduction speaker of the wearable device may be set based at least in part on the usage configuration. In one example, the usage configuration is determined based on a set of status signals that indicate one or more of a physical position, a physical activity, a current activation state, an interpersonal proximity state or a manual user request associated with one or more of the air conduction speaker or the tissue conduction speaker.
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, and 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:
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:
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.