Motorola Mobility LLC

Arris Enterprises LLC

Lenovo (singapore) Pte. Ltd.

Arris Technology, Inc.

Google Inc.

Mir Farooq Ali

Paul C Davis

Jianguo Li

Dale William Russell

Di You

Jun-Ki Min

John Weldon Nicholson

David Alexander Schwarz

James R Talley

Guohua Hao

Daryl Carvis Cromer

Song Wang

Ming Qian

Faisal Ishtiaq

Vivek Kumar Tyagi

Sudhir C Vissa

Anthony J Braskich

Narayanan Venkitaraman

Kevin J McDunn

Loren J Rittle

Seang Yong Chau

Nikhil Ambha Madhusudhana

Santosh S Basapur

Hiren M Mandalia

Crysta J Metcalf

Ashley B Novak

Xiaodong Xun

Kevin Foy

Maziyar Khorasani

Lauren Elizabeth Schwendimann

Haifeng Li

Krishna C Garikipati

Jun Ki Min

Navin Dabhi

Jianguo Liu

Joseph Swantek

Ishan Pande

An electronic device includes one or more processors, an audio interface, operable with the one or more processors, and a voice interface engine. The audio interface receives first acoustic signals identifying a control operation for the one or more processors. The one or more processors cause the audio interface to exchange second acoustic signals with at least one other electronic device, thereby negotiating which device will perform the control operation.

Methods and devices for negotiating performance of control operations with acoustic signals

One embodiment provides a method, including: receiving, at an augmented reality system, a user command to select content associated with at least one of a device and the augmented reality system; receiving, at the augmented reality system, another user command to transfer the content to another device; and transferring, responsive to receiving the another user command to transfer the content, the content to the another device. Other aspects are described and claimed.

Content transfer

In one aspect, a first device includes a processor and storage accessible to the at least one processor. The storage bears instructions executable by the processor to execute a digital assistant, receive input for the digital assistant to perform a task, determine the task indicated in the input, determine whether to use a second device for processing the input based on the determination of the task at the first device, and transmit at least a portion of the input to the second device. The instructions are also executable by the processor to, responsive to a determination to not use the second device for processing the input, execute the task at the first device and using the digital assistant without receiving a response from the second device. Responsive to a determination to use the second device for processing the input, the instructions are executable by the processor to wait at least a threshold amount of time for a response from the second device to the transmission of at least the portion of the input.

Systems and methods for execution of digital assistant

A method, a system, and a computer program product for indicating a dialogue status of a conversation thread between a user of an electronic device and a virtual assistant capable of maintaining conversational context of multiple threads at a time. The method includes receiving, at an electronic device providing functionality of a virtual assistant (VA), a user input that corresponds to a task to be performed by the VA. The method includes determining, from among a plurality of selectable threads being concurrently maintained by the VA and based on content of the user input, one target thread to which the user input is associated. The method includes performing the task within the target thread.

Methods to present the context of virtual assistant conversation

A method and apparatus filter light spectrum. Ambient light conditions of light that is ambient to a user device can be sensed. Ambient light color conditions can be determined based on the sensed ambient light conditions. User device charging times when the user device is being charged can be monitored. User device motion including movement of the user device can be monitored. User device activity can be monitored. Color-modified image display times can be ascertained from at least one selected from the user device motion, the user device activity, and the user device charging times. A color-modified image can be generated based on at least the ambient light color conditions and the color-modified image display times. The color-modified image can be displayed.

Method and apparatus for light spectrum filtering

A voice assistant (VA) can switch between a voice input mode, in which the VA produces audible responses to voice queries, and a gesture input mode that can be triggered by a predetermined gesture, in which the VA produces visual responses to gesture-based queries.

Multi mode voice assistant for the hearing disabled

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

A mobile communication device includes wireless local area network (WLAN) baseband hardware with at least one WLAN transceiver; non-volatile, non-transitory memory that stores a transportation model based on aggregated basic service set identification (BSSID) information collected from a plurality of WLAN access points; at least one sensor that is operative to detect motion of the mobile communication device; and at least one processor, operatively coupled to the WLAN baseband hardware, the memory and to the at least one sensor. The at least one processor is operative to determine that the mobile communication device is located on public transportation using the transportation model in response to a motion detection signal received from the at least one sensor.

Mobile communication device with public transportation detection for determining hands free mode settings

A system and method for identifying and labeling locations frequented by a user of a device, where the system and method track geographic positions and environmental or contextual factors as the user moves about, and identify locations of interest to the user via a clustering procedure. As the device collects contextual data, the system and method label each identified location to create a location model. This model allows the device to label new locations as they arise. The model may be periodically updated by separately processing geographic position data gathered after the model was created to determine if the cluster locations and labels remain accurate.

Identifying personalized meaningful locations

User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference 'score.' If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions.

Inferring attribute and item preferences

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

Growing community of inventors

Rolling Meadows, IL, United States of America

Mir Farooq Ali