Abstract: Functionality is described herein for recognizing speakers in an energy-efficient manner. The functionality employs a heterogeneous architecture that comprises at least a first processing unit and a second processing unit. The first processing unit handles a first set of audio processing tasks (associated with the detection of speech) while the second processing unit handles a second set of audio processing tasks (associated with the identification of speakers), where the first set of tasks consumes less power than the second set of tasks. The functionality also provides unobtrusive techniques for collecting audio segments for training purposes. The functionality also encompasses new applications which may be invoked in response to the recognition of speakers.

Abstract: Functionality is described herein for recognizing speakers in an energy-efficient manner. The functionality employs a heterogeneous architecture that comprises at least a first processing unit and a second processing unit. The first processing unit handles a first set of audio processing tasks (associated with the detection of speech) while the second processing unit handles a second set of audio processing tasks (associated with the identification of speakers), where the first set of tasks consumes less power than the second set of tasks. The functionality also provides unobtrusive techniques for collecting audio segments for training purposes. The functionality also encompasses new applications which may be invoked in response to the recognition of speakers.

Abstract: Apparatus and methods for improving touch-screen interface usability and accuracy by determining the trajectory of a pointer as it approaches the touch-screen and modifying the touch-screen display accordingly. The system may predict an object on the display the user is likely to select next. The system may designate this object as a Designated Target Object, or DTO. The system may modify the appearance of the DTO by, for example, changing the size of the DTO, or by changing its shape, style, coloring, perspective, positioning, etc.

Abstract: Apparatus and methods for improving touch-screen interface usability and accuracy by determining the trajectory of a pointer as it approaches the touch-screen and modifying the touch-screen display accordingly. The system may predict an object on the display the user is likely to select next. The system may designate this object as a Designated Target Object, or DTO. The system may modify the appearance of the DTO by, for example, changing the size of the DTO, or by changing its shape, style, coloring, perspective, positioning, etc.

Abstract: Various technologies and techniques are disclosed that improve data searching on mobile devices. A facet-based search application is provided that has a filter region, a results region, a facet navigation region, and a menu region. A user applies a facet-based filter to a set of data by selecting a number on a keypad or other area that correlates spatially to a filter option in the facet navigation region. A set of data in the results region is updated based on the applied facet-based filter. The user can also apply a freeform text filter to the data by selecting one or more characters for which to search. The data displayed in the results region is updated based on the applied freeform text filter. When input is received from the user to save the applied filter, an attribute label is displayed as a query term in the filter region.

Abstract: Apparatus and methods for improving touch-screen interface usability and accuracy by determining the trajectory of a pointer as it approaches the touch-screen and modifying the touch-screen display accordingly. The system may predict an object on the display the user is likely to select next. The system may designate this object as a Designated Target Object, or DTO. The system may modify the appearance of the DTO by, for example, changing the size of the DTO, or by changing its shape, style, coloring, perspective, positioning, etc.

Abstract: A system for accessing information from data sources. A user domain translates queries from users and applications for recognition by an aggregation domain, receives responses from the aggregation domain, and translates the responses for recognition by the users and applications. An aggregation domain receives translated queries from the user domain, translates the queries for recognition by a data source domain, receives responses from the data source domain, translates the responses for recognition by the user domain, and transmits the translated responses to the user domain. A data source domain receives the translated queries from the aggregation domain, identifies data sources to receive the queries, translates the queries to the data sources, receives responses from the data sources, translates the responses, and transmits the translated responses to the aggregation domain. A knowledge base the domains use to automatically function includes data models and conceptual terminology translations.

Abstract: A method for obtaining patient information for processing by an independent screening database. Queries regarding beliefs and behaviors concerning disease management and compliance are receiving from the screening database. The queries are posed utilizing standard graphical user interfaces. Answers to the queries are input utilizing the graphical user interface classes. The patient answers are transmitted to the screening database.

Abstract: A system for accessing information from data sources. A user domain translates queries from users and applications for recognition by an aggregation domain, receives responses from the aggregation domain, and translates the responses for recognition by the users and applications. An aggregation domain receives translated queries from the user domain, translates the queries for recognition by a data source domain, receives responses from the data source domain, translates the responses for recognition by the user domain, and transmits the translated responses to the user domain. A data source domain receives the translated queries from the aggregation domain, identifies data sources to receive the queries, translates the queries to the data sources, receives responses from the data sources, translates the responses, and transmits the translated responses to the aggregation domain. A knowledge base the domains use to automatically function includes data models and conceptual terminology translations.