Motorola Corporation

Arris Enterprises LLC

Other

Motorola Mobility LLC

Zebra Technologies Corporation

Arris Technology, Inc.

Dale William Russell

Mir Farooq Ali

Paul C Davis

Jianguo Li

Di You

James R Talley

Faisal Ishtiaq

Anthony J Braskich

Narayanan Venkitaraman

Loren J Rittle

Santosh S Basapur

Hiren M Mandalia

Crysta J Metcalf

Harry M Bliss

Orhan Karaali

Ashley B Novak

Jeffrey B Wilhite

Guohua Hao

Valik Solorzano Barboza

Haifeng Li

Richard John Peterson

Mir F Ali

In some implementations, a query management system may receive an access notification associated with the data source. The query management system may analyze the data source to determine a query parameter that is associated with the data source. The query management system may determine a reliability score for the query parameter based on at least one of: source data of the data source, and other source data associated with one or more other data sources. The query management system may configure, based on the reliability score satisfying a reliability threshold, a communication interface with the data source. The query management system may integrate the data source for use with the virtual assistant in accordance with the reliability score, the query parameter, and the communication interface.

Onboarding a data source for access via a virtual assistant

Systems, methods, and devices for determining contexts and determining associated health profiles using information received from multiple health sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Health sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The health sensor data can include health sensor readings that are implicit indications of health for the context. The sensor data can also include user reported data with explicit descriptions of health for the context. The health sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a health profile for the context that can be output to one or more users or entities.

Context health determination system

Systems, methods, and devices for determining contexts and determining associated emotion profiles using information received from multiple emotion sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of times and locations. Emotion sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The emotion sensor data can include emotion sensor readings that are implicit indications of an emotion for the context. The sensor data can also include user reported data with explicit descriptors of an emotion for the context. The emotion sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine an emotion profile for the context that can be output to one or more users or entities.

Context emotion determination system

While a user views a primary content item (for example, a movie on a television screen), secondary content items are selected and presented to the user, either on the same screen or on a screen of the user's companion device. To choose selections that are relevant to the user's current interests, the selection process considers information beyond the realm of primary and secondary content. Over time, the selection process learns to make more relevant selections by monitoring selection choices made by other systems.

Providing secondary content to accompany a primary content item

Systems, methods, and devices for determining contexts and determining associated demographic profiles using information received from multiple demographic sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of time and location. Demographic sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The demographic sensor data can include demographic sensor readings that are implicit indications of a demographic for the context. The sensor data can also include user reported data with explicit descriptions of a demographic for the context. The demographic sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine a demographic profile for the context that can be output to one or more users or entities.

Context demographic determination system

Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group.

Communication processing

A method, system, and tool product for creating a grammar for a natural language dialog system from a device description is provided. The system can include a device descriptor for identifying configuration, interface, object, and attribute information of the device, a speech grammar for identifying one or more rules generated from the device descriptor that are supported by the device, a speech recognition system for invoking rules of the speech grammar, and a processor for facilitating interoperability and development of distributed applications and providing delineated coverage of the one or more rules in view of the device descriptor.

Interactive tool for semi-automatic generation of a natural language grammar from a device descriptor

A method, system and program product usable by domain developers having any experience level in creating domain models. A representation of domain model knowledge is derived from a domain specification. The domain specification includes multiple potential domain objects, e.g., tables of APIs functional arguments, and each of the potential domain objects include one or more attributes. Potential domain objects are selected one at a time from the specification and offered to the developer. The developer decides whether or not to include the potential domain object in the domain model. If the developer decides to include the potential domain object then the system provides a default name i.e., the table name or argument name, and allows the developer to rename the selected domain object Then, after having selected the object, potential attributes e.g., table columns are selected from the object and offered to the developer If the developer decides to include a potential attribute, then a default name, i.e., the column name or name extracted from an API function, is offered for the selected attribute and the developer is allowed to rename attributes Once all the potential domain objects have been offered to the developer and the developer has either decided to include the potential objects or not, the system checks the domain model for nesting structure If domain objects include attributes that are shared with other domain objects then those domain objects may be reorganized such that some domain objects include instances of identically named attributes from other domain objects.

Interactive tool for semi-automatic creation of a domain model

A method (,), device (,) and system (,) provide, in response to text/linguistic input, one of a set of pre-determined meanings which is the most likely intended meaning of that input. A trained meaning discriminator is generated from an annotated training corpus and a meaning discriminator trainer. The trained meaning discriminator generates a meaning vector from an input utterance. The intended meaning encoder analyzes the meaning vector to determine the most likely intended meaning and confidence measures.

Method, device and system for noise-tolerant language understanding

A muzzle loading firearm having a receiver for housing and supporting all moving parts of the firearm, and for accommodating either one or two barrels. In the two-barrel arrangement, an upper barrel is disposed in parallel directly above a lower barrel, and independent hammer and trigger mechanisms are provided to permit independent firing of the barrels. The receiver is formed with a flash transfer orifice communicating with each barrel, and in both the one-barrel and two-barrel arrangements a flash transfer orifice extends vertically to a lower surface of the receiver to operatively cooperate with a bottom-mounted hammer arrangement.

Growing community of inventors

Palatine, IL, United States of America

Dale William Russell