Skyhook Wireless, Inc.

Qualcomm Incorporated

Andrew Broadstone

Farshid Alizadeh-Shabdiz

Nicolas Brachet

Russel Kipp Jones

Christopher Steger

Andrei Dancus

Thomas Jason Dytko

Joel Morrin

Edward James Morgan

Russel Jones

In one example embodiment, a certified location service enables a mobile device to access a location-based service when a determined location meets a location requirement and an overall confidence score for the determined location exceeds a confidence threshold. A data package is received including identifiers of beacons observed by the mobile device, and a location of the mobile device is determined based on a calculated location of one or more of the beacons. An overall confidence score for the determined location is calculated based on one or more individual confidence scores for the one or more beacons used in determining the location or composite confidence scores for types of the one or more beacons. The determined location and the overall confidence score are provided to one or more provider servers that allow the mobile device to access a location-based service based thereon.

Certified location for mobile devices

In one embodiment, techniques are provided for estimating demographic information. A current device demographic profile for a mobile device is retrieved. An estimated geographic location of the mobile device and a time at which the mobile device visited the estimated geographic location is determined. Based on this, a location demographic profile for a geographic area that includes the estimated geographic location and for a time frame that includes the determined time is retrieved. The current device demographic profile for the mobile device is updated based on the location demographic profile. Further, the location demographic profile is updated based on a plurality of device demographic profiles of a plurality of mobile devices that visit geographic locations within the geographic area, the plurality of mobile devices including the mobile device.

Techniques for estimating demographic information

In one embodiment, techniques approximate concurrent monitoring of a large number of geo-fences, potentially beyond a number supported by a mobile device, The mobile device may obtain a set of geo-fences and maintain a first subset of the geo-fences as an active subset of geo-fences and a second subset of the geo-fences as an inactive subset of geo-fences. The mobile device may also establish and monitor an envelope geo-fences that excluded the inactive subset of geo-fence. In response to detecting that the mobile device has moved to a new location proximate to the envelope geo-fence, one or more geo-fences are moved between the active subset of geo-fences and the inactive subset of geo-fences to produce a new active subset of geo-fences and a new inactive subset of geo-fences.

Active geo-fence management

In one example embodiment, a Wi-Fi based location determination technique both determines one or more locations of a mobile device, and calculates a confidence score for each determined location. A request is received at a certified location service executing on a server for one or more locations of the mobile device and a data package. The data package may include an indication of a plurality of beacons observed by the mobile device. The certified location service determines one or more locations of the mobile device based on a calculated location of at least some of the plurality of beacons. The certified location service also determines a confidence score for each beacon used in determining each location. An overall confidence score for each determined location may be calculated based on a combination of the confidence scores for each of the beacons used in the determination of the location.

In one embodiment, techniques approximate concurrent monitoring of a large number of geo-fences, potentially beyond a number supported by a mobile device, The mobile device may activate a subset of geo-fences to be monitored, the subset of geo-fences selected from the set of geo-fences based on proximity to a current location of the mobile device. The mobile device may also establish and monitor an envelope geo-fence that encompasses the subset of geo-fences. In response to detecting that the mobile device has moved to a new location proximate to the envelope geo-fence, a new subset of geo-fences is activated to be monitored. Geo-fences of the subset of geo-fences that are not part of the new subset of geo-fences are deactivated.

In one embodiment, techniques approximate use of geo-fences of shapes and/or sizes other than those natively support by a mobile device. Upon receiving an initial geo-fence (e.g., a non-supported geo-fence), the mobile device may generate a group of geo-fences (e.g., a group of supported geo-fences) whose union approximates the initial geo-fence, where the group includes one or more geo-fences. The mobile device may treat the group of supported geo-fence as an equivalent to the non-supported geo-fence. When the mobile device crosses one of the supported geo-fences of the group of supported geo-fences, and does not enter into another supported geo-fence of the group of supported geo-fences, a notification may be sent to an application that utilizes the non-supported geo-fence that the non-supported geo-fence has been triggered.

Geo-fence splitting

Disclosed are techniques for privacy preserving mobile demographic measurement of individuals, groups, and locations over time and space. A method of estimating demographic information associated with a user of a mobile device and/or a location while preserving the privacy of the user based at least in part on a location estimate of the mobile device of the user includes receiving an estimated geographical location of the mobile device of the user and receiving a time at which the mobile device was at the estimated geographical location. The method includes assigning substitute identifiers for the geographical location and the time at which the mobile device was at the estimated geographical location. The method includes associating the geographical areas substitute identifiers with demographic information and estimating demographic information associated with the user of the mobile device based on the substitute identifiers and based on the demographic information associated with substitute identifiers.

Growing community of inventors

Watertown, MA, United States of America

Andrew Broadstone