Qualcomm Incorporated

Carnegie Mellon University

Thanh Le Nguyen

Gengsheng Zhang

Sai Pradeep Venkatraman

Yu Seung Kim

Weiyi Liu

Patrick Tague

Joy Zhang

A system includes, in one aspect, one or more processing devices that perform operations comprising: detecting one or more human objects in images captured by a visual image recording device; obtaining a motion timeseries for each of the detected one or more human objects using the captured images; obtaining a received signal strength (RSS) timeseries for each of the one or more mobile devices, based on received RF signals from the one or more mobile devices; and generating an association between (i) identifying data for a first mobile device of the one or more mobile devices, and (ii) identifying data for one of the one or more human objects representing a first human, wherein the first mobile device has an RSS timeseries that fluctuates at a time period corresponding to movement in the obtained motion timeseries for the one of the one or more human objects representing the first human.

Associating a user identity with a mobile device identity

Disclosed are systems, methods and devices for providing positioning assistance data to a mobile device. In a particular implementation, a mobile device may receive parameters representing an inference model. The mobile device may then apply observations to the inference model to classify the location of the mobile device as being in a particular region. The mobile device may then request positioning assistance data based, at least in part, on the particular region.

System, method and devices for delivering positioning assistance data

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Sunnyvale, CA, United States of America

Thanh Le Nguyen