Intel Corporation

Junaith Ahemed Shahabdeen

Lama Nachman

Rahul C Shah

Giuseppe Beppe Raffa

Jonathan J Huang

Chieh-Yih Wan

Bran Ferren

Jennifer Anne Healey

Wendy March

Ashwini Asokan

Alexander Essaian

John Cross Neumann

Kieran Del Pasqua

Sushmita Subramanian

Rita H Wouhaybi

Lenitra M Durham

Sangita R Sharma

Adam Jordan

Douglas P Bogia

Omar Florez

Saurav Sahay

Hong Lu

Anita Gajjala

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.

Technologies for automated context-aware media curation

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.

Methods and apparatus for providing improved access to applications

A method may include detecting motion of a mobile device and inferring from the motion a first activity of a user of the mobile device. The method may also include evaluating a signal quality of a radio signal received by a signal module and altering an operational mode of the signal module based on the signal quality and the first activity.

Smart data connections for mobile devices

Through status awareness, a handheld communications device may determine the location, activity, and/or physical or emotional state of the user. This information may in turn be used for various purposes, such as 1) determining how to alert the user of an incoming communication, 2) determining what format to use for communicating with the user, and 3) determining how to present the user's status to another person's communication device.

Handheld electronic device using status awareness

A method, apparatus, and article containing computer instructions are described. Embodiments may use accelerometer data regarding forward motion by a wearer of a three-axis on-body accelerometer. Embodiments may further measure an acceleration due to gravity on each axis x, y, z of the accelerometer and use the direction of gravity to associate or align the x axis of the accelerometer with gravity. Embodiments may then use the acceleration not due to gravity to identify the forward motion and associate or align the forward direction with the y axis. The remaining direction may be identified as the sideways direction, which may be associated or aligned with the z axis. Additional activities may then be performed using the now-known orientation of the accelerometer. Other embodiments are described and claimed.

Techniques for determining orientation of a three-axis accelerometer

A state classifier uses learning obtained from a plurality of training algorithms each adapted to differentiate between states of physical orientation of an object in response to input data from an tri-axial accelerometer. At least two of the training algorithms are trained using data from an accelerometer mounted at a non-ideal angle. The classifier is trained to distinguish between the desired states from data collected from an tri-axial accelerometer device mounted at a plurality of respective angles with respect to a optimal axis on the object, wherein the angles are in the range of &#x2212;180 degrees to +180 degrees. The classifier may include a plurality of classifiers and a decision fusion module used to combine the decisions from the respective classifiers to ascertain a state.

Apparatus and method for classification of physical orientation

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San Jose, CA, United States of America

Junaith Ahemed Shahabdeen