Microsoft Technology Licensing, LLC

Other

Yale University

Dimitrios Lymberopoulos

Jie Jerry Liu

Di Wang

Michel Goraczko

Nissanka Arachchige Bodhi Priyantha

Zhengyou Zhang

Yasser Baseer Asmi

Abhishek Abhishek

Yi Lu

Khawar Zuberi

Rouzbeh Aminpour

Ali Dalloul

Tony Capone

Pedro Urbina Escos

Emanuel Shalev

Oriana Riva

He Wang

Karin Strauss

Feng Zhao

Suman Kumar Nath

Ran Gilad-Bachrach

Gerald Reuben DeJean

Trang T Thai

Yin Chen

Gerald Reuben Dejean, Ii

Eden Alejandro Alanis Reyes

Qiang Wu

Douglas Christopher Burger

Abhijit S Ogale

Emmanouil Koukoumidis

Aman Kansal

Doug Burger

Lei Zhang

Li Jiang

Changhu Wang

Yuxiao Hu

Mohammed Shoaib

Nissanka Bodhi Priyantha

Andreas Savvides

Marcel Gavriliu

Yiannis Aloimonos

Gennady Pekhimenko

Slobodan Matic

Mari Hern

Kevin Timmons

Jie Liu

Gerald Dejean

Gerald Reuben Ii Dejean

A computer device includes a processor configured to simulate a virtual environment based on a set of virtual environment parameters, and perform ray tracing to render a view of the simulated virtual environment. The ray tracing includes generating a plurality of rays for one or more pixels of the rendered view of the simulated virtual environment. The processor is further configured to determine sub-pixel data for each of the plurality of rays based on intersections between the plurality of rays and the simulated virtual environment, and store the determined sub-pixel data for each of the plurality of rays in an image file.

Sub-pixel data simulation system

The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

Context-awareness

Various technologies pertaining to crowd sourcing data about an entity, such as a business, are described. Additionally, technologies pertaining to inferring metadata about the entity based upon crowd sourced data are described. A sensor in a mobile computing device is activated responsive to a user of the mobile computing device checking in at an entity. Metadata, such as occupancy at the entity, noise at the entity, and the like is inferred using the data captured by the sensor. A search result for the entity includes the metadata.

Accumulation of real-time crowd sourced data for inferring metadata about entities

The description relates to 3D gesture recognition. One example gesture recognition system can include a gesture detection assembly. The gesture detection assembly can include a sensor cell array and a controller that can send signals at different frequencies to individual sensor cells of the sensor cell array. The example gesture recognition system can also include a gesture recognition component that can determine parameters of an object proximate the sensor cell array from responses of the individual sensor cells to the signals at the different frequencies, and can identify a gesture performed by the object using the parameters.

3D gesture recognition

The discussion relates to visitor-driven, venue-specific media. One implementation can obtain a venue media profile of a venue and obtain visitor profiles of visitors at the venue. This implementation can generate a playlist of visitor-driven, venue specific media based on both the venue media profile and the visitor profiles.

Customized media

Identifying products in a physical store shopping environment. The method includes, using a first detection method, identifying that a given product likely belongs to a given set of products. The method further includes, using one or more other detection methods, determining that the product is likely a specific product from the given set of products.

Multi-signal based shopping cart content recognition in brick-and-mortar retail stores

This document relates to trend response management. One example can detect a trending topic and identify content associated with the trending topic. The example can take an action relating to the content that decreases a trend-induced processing spike and/or enhances a user search experience associated with the trending topic.

Trend response management

This document relates to user-authentication gestures. One example can capture multiple biometric features when a user-authentication gesture is performed as a device authentication attempt. The example can compare values of the multiple biometric features to previous values stored for the user. The example can further unlock the computing device in an instance where the values of the multiple biometric features satisfy a similarity threshold relative to the previous values.

User-authentication gestures

A method includes receiving a search query from a user at a search engine. The method also includes performing a search responsive to the search query to obtain a set of results. The set of results is ordered at least partially based on a distance between a profile of a user and a profile of each result in the ordered set of results. At least one profile of a result is based on an aggregate of a plurality of user profiles.

Search results based on user and result profiles

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Bellevue, WA, United States of America

Dimitrios Lymberopoulos