Microsoft Technology Licensing, LLC

Other

Duke University

He Wang

Jie Jerry Liu

Dimitrios Lymberopoulos

Souvik Sen

Romit Roy Choudhury

Nirupam Roy

Moustafa Farid

Moustafa Youssef

Ahmed Elgohary

Jie Liu

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

Systems and methods for unsupervised indoor localization are provided. Sensor data obtained from a device carried by a user can be used to simultaneously estimate the indoor location of a user and identify landmarks within the indoor environment based on their signatures. The landmarks can be used to reset the location estimate of the user, and the location estimate of the user can be used to improve the learned location of the landmarks. This recursive process leads to excellent accuracy in indoor localization. Systems and methods for estimating the heading direction of a user are also provided. Sensor data obtained from the user can be used to analyze the forces acting on the user in order to give an accurate heading direction estimate.

Unsupervised indoor localization and heading directions estimation

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

Growing community of inventors

Urbana, IL, United States of America

He Wang