Google Inc.

Qualcomm Incorporated

Hewlett-packard Development Company, L.p.

X Development LLC

Palm, Incorporated

International Business Machines Corporation

Eric Hc Liu

Seung Wook Kim

Manjirnath A Chatterjee

Stefan J Marti

Chaitanya Gharpure

Evan Jarman Fisher

Victoria Fang

Peng Yang

Emily Hou

Yoshimichi Matsuoka

Brian John Adolf

Kevin D Brune

Stefan Johannes Walter Marti

Peter Nils Skillman

Michael Jason Grundmann

Alison Wong

Mark Corbridge

Jason Chua

Nathaniel Wolf

Karl Alun Townsend

Jonathan James Effrat

Charles Goran

Dustin C Rosing

Mathias Samuel Fleck

William Justin Grange

Wen Zhao

Arun Godfrey Mathias

Maaike Louise Evers

Robert Yuji Haitani

Pawan Raghunath Chowdhary

Jason S Bayer

Robert John Moore

Shun Jiang

Stephen Chau

Alok Chandel

Sunhwan Lee

Michael Arthur Simonian

Pierre-Yves Laligand

Nicholas Ryan Gilmour

Justin Koh

Chung-hao Tan

Guangjie Ren

Stephen Theodore Schooley

Margaret Helen Szymanski

Raphael I Arar

Michael Joseph Francisco

Lei Huang

Edward Stanley Ott, Iv

Janell Paulson

Wim Crooijmans

Haywai Hayward Chan

Duane Valz

Calvin Lee

Matthew Hornyak

Dyke Shaffer

Craig Hamilton

Darren Ang

Ronald Horowitz

Michael Lehr

Robert A Boeller

Matt Swinton

Michael Carnes

Peter Sobczak

Peter Skillman

Larry W Martin

Sagar Savant

Samuel Dean Banks, Jr

Charles Lee

Isabel Ge

Dan Myers

Igor Braslavsky

Perry Zabaldo

Manjimath Chatterjee

William Grange

Francisco J Fangonilo

Mukul Kumar

Duane Richard Valz

The disclosure provides technology for enhancing the ability of a computing device to detect when a user has discontinued reading a text source. An example method includes receiving audio data comprising a spoken word associated with a text source, comparing the audio data with data of the text source, determining, based on the comparing, whether a segment of the audio data corresponds to a location of the text source, and responsive to determining that the segment of the audio data does not correspond to a location of the text source, transmitting a signal indicating that a user has discontinued reading the text source, the signal causing to cease the comparing of the audio data with the data of the text source.

Algorithmic determination of a story readers discontinuation of reading

Methods, systems, and media for presenting contextually relevant information are provided. In some implementations, the method includes: receiving information associated with a user of a user device from multiple data sources, where the user device comprises a display; identifying, without user intervention, a relevant document based on the received information associated with the user of the user device; determining that a new browser window or a new browser tab has been opened by a browser application being executed by the user device; and causing, without user intervention, the relevant document to be presented using the new browser window or new browser tab.

Methods, systems, and media for modifying the presentation of contextually relevant documents in browser windows of a browsing application

Methods, systems, and media for displaying information related to displayed content upon detection of user attention are provided. In some implementations, a method for presenting information to a user is provided, the method comprising: detecting a presence of a user; retrieving content and associated content metadata; causing the content to be presented to the user in response to detecting the presence of the user; detecting a user action indicative of user attention to at least a portion of the content presented to the user; and in response to detecting the user action, causing information to be presented to the user, wherein the information presented to the user corresponds to the content metadata associated with the portion of the content.

Methods, systems, and media for displaying information related to displayed content upon detection of user attention

The disclosure provides technology for enhancing the ability of a computing device to detect when a user has discontinued reading a text source. An example method includes receiving audio data comprising a spoken word associated with a text source, wherein the audio data comprises a first duration and a second duration; comparing the audio data with data of the text source, wherein the first duration of the audio data corresponds with the data of the text source; calculating, by a processing device, a correspondence measure between the second duration of the audio data and the data of the text source; and responsive to determining the correspondence measure satisfies a threshold, transmitting a signal to cease comparing audio data with the data of the text source.

Methods, devices, and systems for processing audio information are disclosed. An exemplary method includes receiving an audio stream. The audio stream may be monitored by a low power integrated circuit. The audio stream may be digitized by the low power integrated circuit. The digitized audio stream may be stored in a memory, wherein storing the digitized audio stream comprises replacing a prior digitized audio stream stored in the memory with the digitized audio stream. The low power integrated circuit may analyze the stored digitized audio stream for recognition of a keyword. The low power integrated circuit may induce a processor to enter an increased power usage state upon recognition of the keyword within the stored digitized audio stream. The stored digitized audio stream may be transmitted to a server for processing. A response received from the server based on the processed audio stream may be rendered.

Low power integrated circuit to analyze a digitized audio stream

The disclosure provides technology for enhancing the ability of a computing device to conserve computing resources while providing special effects that are aligned with a text source being read aloud. An example method includes identifying effects data for a text source, wherein the effects data correlates a physical effect with an audible action of a user; receiving audio data comprising a plurality of audible actions, wherein at least one of the plurality of audible actions comprises a spoken word of the text source; determining, by a processing device, that a triggering condition pertaining to the effects data and the text source is satisfied; loading content for the physical effect prior to an occurrence of the audible action, and providing the physical effect to modify an environment of the user.

Detection of story reader progress for pre-caching special effects

Methods, systems and media for presenting information related to an event based on metadata are provided. In some implementations, the method comprises: detecting that a user-initiated event has been performed on a user device; detecting a plurality of sensors connected to the user device; causing a plurality of content items related to the user-initiated event to be obtained using the plurality of sensors connected to the user device; determining whether each of the plurality of content items is to be associated with the user-initiated event based on user device information from a plurality of data sources; associating a portion of the plurality of content items with the user-initiated event based on the determination; retrieving information related to the portion of the plurality of content items; detecting, using the plurality of sensors connected to the user device, a second plurality of content items; determining that at least one of the second plurality of content items is related to at least one of the first plurality of content items; and causing information related to the user-initiated event to be presented by the user device based at least in part on the determination.

Methods, systems, and media for presenting information related to an event based on metadata

An example method for identifying a reading location in a text source as a user reads the text source aloud includes determining phoneme data of the text source, the text source comprising a sequence of words; receiving audio data comprising a spoken word associated with the text source; comparing, by a processing device, the phoneme data of the text source and phoneme data of the audio data; and identifying a location in the sequence of words based on the comparing phoneme data.

Reading progress estimation based on phonetic fuzzy matching and confidence interval

The disclosure provides technology for enabling a computing device to provide context sensitive special effects that supplement a text source as it is read aloud. An example method includes receiving, by a processing device, audio data comprising a spoken word of a user, analyzing contextual data associated with the user, determining a match between the audio data and data of a text source; and initiating a physical effect in response to the determining the match, wherein the physical effect corresponds to the text source and is based on the contextual data.

Dynamic adjustment of story time special effects based on contextual data

The disclosure provides technology for enhancing the ability of a computing device to conserve computing resources while providing special effects that are aligned with a text source being read aloud. An example method includes identifying effects data for a text source, wherein the effects data correlates a physical effect with an audible action of a user; receiving audio data comprising a plurality of audible actions, wherein at least one of the plurality of audible actions comprises a spoken word of the text source; determining, by a processing device, a triggering condition based on the effects data and the text source; responsive to satisfying the triggering condition, loading content for the physical effect, wherein the triggering condition is satisfied prior to the occurrence of the audible action; and providing the physical effect to modify an environment of the user.

Methods, systems, and media for presenting suggestions of media content are provided. In some implementations, the method comprises: determining an item of media content; determining a probability of the item of media content being watched at one or more times based on at least one of: a characteristic of a person; a characteristic of a group; and a characteristic of the item of media content; creating a user interface which suggests that the item of media content be watched at one or more times based on the determined probability; and presenting the user interface.

Methods, systems, and media for presenting suggestions of media content

A system and method for interfacing a television with a second device is provided. The system includes an interfacing unit to enter an interfacing mode between the television mode and the second device; a card storage unit to store a first card and a second card, the first card being presently displayed on the television and the second card being previously displayed on the television; a current card display register to store the first card; an interactive retrieval unit to retrieve a plurality of interactive functions associated with the first card; and a display unit to display the first card and the plurality of interactive functions in response to being in the interfacing mode.

Interfacing a television with a second device

A method and system of automatically identifying topics of a conversation are provided. An electronic data package comprising a sequence of utterances between conversation entities is received by a computing device. Each utterance is classified to a corresponding social action. One or more utterances in the sequence are grouped into a segment based on a deep learning model. A similarity of topics between adjacent segments is determined. Upon determining that the similarity is above a predetermined threshold, the adjacent segments are grouped together. A transcript of the conversation including the grouping of the adjacent segments is stored in a memory.

Topic mining based on interactionally defined activity sequences

Growing community of inventors

Santa Clara, CA, United States of America

Eric Hc Liu