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:
Techniques for modifying a power state of a device are described herein. The techniques include receiving data from a sensor indicating movement of the device, and determining whether the device movement is associated with a predetermined device movement. Based on the determination, the techniques include modifying a power state of the device from either a first power state to a second power state, or from the second power state to the first power state, wherein the device consumes more power in the first power state than in the second power state.
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:
Method and apparatus for multi-dimensional interaction interface for mobile devices. An embodiment of a mobile device includes a touch screen to provide a display and to generate a touch screen signal upon contact to the touch screen, a touch sensor to generate a touch sensor signal upon contact to the touch sensor, and a module to provide for cooperative operation of the touch screen signal and the touch sensor signal in providing input to the mobile device upon determining that an input to the touch screen indicates a multipoint input.
Abstract:
Briefly, a method and apparatus for recognizing temporal tapping patterns input to a touch panel interface is disclosed. The method may include receiving user input with a touch panel interface, recognizing a temporal tapping pattern in the user input, and performing an action associated with the temporal tapping pattern.
Abstract:
An embodiment of the present invention provides a method of determining when a user is in-market for a specific product and knowing general shopping preferences and habits of users, comprising using web browsing behavior to determine the products the user is interested in purchasing and how the user typically likes to shop and wherein the web browsing behavior is determined by watching some or all web pages loaded and analyzing at least a URL, page text, and cookies associated with each loaded web page.
Abstract:
The present invention successfully combines neural-net discriminative feature processing with Gaussian-mixture distribution modeling (GMM). By training one or more neural networks to generate subword probability posteriors, then using transformations of these estimates as the base features for a conventionally-trained Gaussian-mixture based system, substantial error rate reductions may be achieved. The present invention effectively has two acoustic models in tandem—first a neural net and then a GMM. By using a variety of combination schemes available for connectionist models, various systems based upon multiple features streams can be constructed with even greater error rate reductions.
Abstract:
Techniques for device connections using touch gestures are described. A method may comprise receiving a first gesture input at a first electronic device, receiving, at the first electronic device, a second gesture input from a second computing device in proximity to the first computing device, comparing the first gesture input and the second gesture input, and establishing a wireless connection between the first computing device and the second computing device if a similarity of the first gesture input and the second gesture input meets or exceeds a similarity threshold based on the comparing. Other embodiments are described and claimed.
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:
Techniques for device connections using touch gestures are described. A method may comprise receiving a first gesture input at a first electronic device, receiving, at the first electronic device, a second gesture input from a second computing device in proximity to the first computing device, comparing the first gesture input and the second gesture input, and establishing a wireless connection between the first computing device and the second computing device if a similarity of the first gesture input and the second gesture input meets or exceeds a similarity threshold based on the comparing. Other embodiments are described and claimed.