System for pattern recognition in real-time location-based services applications
First Claim
1. A method of estimating the current location of a mobile device, comprising:
- acquiring, by a mobile device, a set of historical location parameters associated with the mobile device, wherein at least one location parameter in the set of historical location parameters includes data indicative of a prior latitude and longitude of the mobile device acquired by a geographic positioning unit of the mobile device;
providing, by the mobile device, the set of historical location parameters to at least one server;
receiving, by the mobile device, at least one trip model from the server, wherein the trip model is determined based at least in part on a neural network using the set of historical location parameters;
obtaining, by the mobile device, at least one last known location parameter for the mobile device; and
estimating, by the mobile device, the current location of the mobile device using the at least one last known location parameter for the mobile device and the at least one trip model.
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Abstract
A prediction method that estimates the real-time position of a mobile device based on previously observed data is provided. The present invention can be used in real-time navigation, including providing real-time alerts of an upcoming destination and notifications of emergency events in close geographic proximity. The prediction method utilizes neural networks and/or functions generated using genetic algorithms in estimating the mobile device'"'"'s real-time position. The prediction method provides reliable Location-Based Services (LBS) in events where traditional positioning technologies become unreliable. It is also seamless, as the user remains unaware of any interruption in accessing the positioning technology.
19 Citations
19 Claims
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1. A method of estimating the current location of a mobile device, comprising:
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acquiring, by a mobile device, a set of historical location parameters associated with the mobile device, wherein at least one location parameter in the set of historical location parameters includes data indicative of a prior latitude and longitude of the mobile device acquired by a geographic positioning unit of the mobile device; providing, by the mobile device, the set of historical location parameters to at least one server; receiving, by the mobile device, at least one trip model from the server, wherein the trip model is determined based at least in part on a neural network using the set of historical location parameters; obtaining, by the mobile device, at least one last known location parameter for the mobile device; and estimating, by the mobile device, the current location of the mobile device using the at least one last known location parameter for the mobile device and the at least one trip model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of estimating the current location of a mobile device, comprising:
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acquiring, by a mobile device, a set of historical location parameters associated with the mobile device, wherein at least one location parameter in the set of historical location parameters includes data indicative of a prior latitude and longitude of the mobile device acquired by a geographic positioning unit of the mobile device; providing, by the mobile device, the set of historical location parameters to at least one server; storing the set of historical location parameters at the at least one server receiving, by the mobile device, at least one trip model from the server, wherein the trip model is determined based at least in part on a neural network using the set of historical location parameters; obtaining, by the mobile device, at least one last known location parameter for the mobile device; estimating, by the mobile device, the current location of the mobile device using the at least one last known location parameter for the mobile device and the at least one trip model. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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Specification