Qualcomm Incorporated

Dropbox, Inc.

Qualcomm Innovation Center, Inc.

Other

Behrooz Khorashadi

Saumitra Mohan Das

Rajarshi Gupta

Vinay Sridhara

Payam Pakzad

Hui Chao

Alok Aggarwal

Shehzad Daredia

Bojin Liu

Lorenzo Vicisano

Sameera Poduri

Faraz Mohammad Mirzaei

Hudson Arnold

Matthew Broussard

Emma Highley

Devangi Vivrekar

Mark Watson

Ravi Palanki

Ramin Rezaiifar

Lionel Jacques Garin

Bin Wang

Christopher Brunner

Edward Thomas Lingham Hardie

Dilma Menezes Da Silva

Mohammad H Reshadi

Chandrakant Mehta

Rajiv K Vijayakumar

Min-Wook Jeong

Ferit Ozan Akgul

Abhinav Sharma

Lionel James Garin

A content management system obtains at least a portion of a meeting transcript based on an audio stream of a meeting attended by a plurality of users, the meeting transcript obtained in an ongoing manner as words are uttered during the meeting. The content management system detects text entered by a user of the plurality of users into a content item during the meeting. The content management system matches the detected text to at least part of the at least the portion of the meeting transcript. The content management system provides the at least part of the at least the portion of the meeting transcript to the user as a suggested subsequent text.

Machine learning recommendation engine for content item data entry based on meeting moments and participant activity

Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. In one or more embodiments, the system analyzes media data and inputs to client devices associated with a meeting to determine a portion of the meeting that is relevant for a user. In one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

Generating customized meeting insights based on user interactions and meeting media

Methods, systems, and non-transitory computer readable storage media are disclosed for generating meeting insights based on media data and device input data. For example, in one or more embodiments, the disclosed system utilizes analyzes media data including audio data or video data and inputs to client devices associated with a meeting to determine a portion of the meeting (e.g., a portion of the media data) that is relevant for a user. In response to determining a relevant portion of the meeting, the system generates an electronic message including content related to the relevant portion of the meeting. The system then provides the electronic message to a client device of the user. For instance, in one or more embodiments, the system generates a meeting summary, meeting highlights, or action items related to the media data to provide to the client device of the user. In one or more embodiments, the system also uses the summary, highlights, or action items to train a machine-learning model for use with future meetings.

Techniques for providing a user with an augmented virtuality (AV) experience are described herein. An example of a method of providing an AV experience includes determining a location of a mobile device, determining a context based on the location, obtaining AV object information, displaying the AV object information in relation to the context, detecting an interaction with the context, modifying the AV object information based on the interaction, and displaying the modified AV object information. The context may include weighting information. The weighting information may be based on Received Signal Strength Indication (RSSI) or Round-Trip Time (RTT) data. The weighting information may be associated with a composition of a physical object in the context. A user gesture may be received, and the AV object information may be modified based on the received gesture information.

Augmented virtuality

In one implementation, a method may comprise: storing a user profile indicative of at least one attribute of a user of a mobile station; determining a measurement value based, at least in part, on a signal from at least one sensor on the mobile station; and estimating a location of the mobile station based, at least in part, on an association of the at least one attribute and the measurement value with a context parameter map database.

Context-based parameter maps for position determination

Methods and apparatuses are provided which may be implemented in various devices to generate positioning assistance data and/or the like by mobile station with regard to at least one of a plurality of different indoor regions.

Methods and apparatuses for mobile station centric determination of positioning assistance data

Systems, apparatus and methods for determining a location of a mobile device are presented. Often a mobile device requests assistance data from a location server. If the mobile device expects a significant delayed response in receiving the assistance data, the mobile device may determine a seed location or rough location estimate from a server. The mobile device may also request a map to display and/or a data structure for its estimator. The mobile device may preload the estimator with the rough location estimate and/or the data structure. After preloading, the estimator determines a location of the mobile device. Also, the mobile device may show the map to a user via a display.

Seeding an estimator when receiving assistance data on a slow link

Methods and apparatuses are provided which may be implemented in various devices having one or more computing platforms to obtain signaling characteristics for one or more transmitting devices. The signaling characteristics may, for example, be based, at least in part, on one or more signals received by a receiving device from the transmitting device(s), and may comprise at least a received signal strength measurement and a propagation time measurement. Such methods and apparatuses may further be implemented to determine whether a mobile station is to use or not use positioning data for one or more transmitting device(s) in a positioning function based, at least in part, on the received signal strength measurement and the propagation time measurement.

Methods and apparatuses for use in selecting a transmitting device for use in a positioning function

Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for a relatively faster time-to-first-fix, such as for use in or with a mobile communication device. Briefly, in accordance with at least one implementation, a method may include transmitting a first message to a mobile device, the first message comprising abbreviated positioning assistance data; receiving a second message from the mobile device, the second message comprising an indication of a coarse location of the mobile device; and transmitting a third message to the mobile device, the third message comprising a detailed tiled radio heat map obtained based, at least in part, on the received indication of the coarse location of the mobile device.

Techniques for faster time-to-first-fix

A method and apparatus for enhancing device performance through transport flow control is provided. The method may include determining that a level of user interest is indicated in at least one application of one or more applications, and modifying a transport flow associated with at least one of the one or more applications.

Methods and apparatus for enhancing device performance through flow control

The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for map handling for location based services in conjunction with localized environments. For certain example implementations, a method may comprise storing map information corresponding to a particular localized environment that is associated with a particular location context identifier, with the particular localized environment comprising an indoor environment corresponding to at least a portion of a building structure; receiving update information applicable to the map information corresponding to the particular localized environment, with the update information being associated with the particular location context identifier; updating the map information corresponding to the particular localized environment based at least partly on the update information so as to produce updated map information; and providing the updated map information to one or more mobile devices that are located at the particular localized environment. Other example implementations are described herein.

Map handling for location based services in conjunction with localized environments

Various methods, apparatuses, devices, and articles of manufacture are provided for use by one or more electronic devices to provide or otherwise identify applications for potential use by a mobile device with respect to a particular environment. For example, a computing device may apply a context-aware filter to identify a list of applications for potential use by a mobile device; and, in response to a first event proffer one or more applications for use by the mobile device; and, in response to a second event withdraw the application for use by the mobile device. In another example, a mobile device may, in response to a first indication that an application has been proffered for use, initiate activation of the application; and, in response to a second indication that the application has been withdrawn for use, initiate deactivation of the application.

Method and apparatus for use in providing context-aware identification of mobile device applications

Disclosed are processes, systems and apparatuses for providing positioning data, such as assistance data, to a mobile device for use in performing positioning or navigation operations. In particular implementations, the positioning data is based, at least in part, on particular capabilities of the mobile device, for example a processing platform of the mobile device. In other implementations, positioning data provided to a mobile device may be tailored according to a cost function.

Provision of positioning data based on device capability

Systems, apparatus and methods for merging maps used by a positioning server are presented. Original maps are overlaid, concatenated or inset to create a more detailed map. The original maps are from different sources and/or in different formats. By merging or fusing maps together, a positioning server may create a better structural map, which is in turn used to create improved positioning assistance data.

Growing community of inventors

Mountain View, CA, United States of America

Behrooz Khorashadi