Abstract: A system and method is described that computes an estimated current location for a client device based on both the detected current location and the predicted current location of the client device. By utilizing the predicted current location, the system and method may account for and compensate for anomalies and inaccuracies in the detected current location. Accordingly, the system and method provides a more accurate estimation for the current location of the client device based on examination of heuristics and a priori environmental data. In particular, the system and method compensates for detected locations that are impossible or improbable based on previous locations of the client device, the layout of the environment in which the client device is traversing, data describing the user of the client device, and/or data describing the client device.

Abstract: Methods and systems are described for filtering out signal strength data associated with access points and a client device using heuristic and intra-access point analysis. The filtered data may be used to approximate the location of the client device. By filtering signal strength values through a heuristic and intra-access point analysis; the systems and methods described eliminate inaccurate or anomalistic values, which may negatively alter the estimated location of the client device. Accordingly, the systems and methods may produce more accurate client device location estimates by intelligently examining detected signal strength values.

Abstract: A system and method is described that computes an estimated current location for a client device based on both the detected current location and the predicted current location of the client device. By utilizing the predicted current location, the system and method may account for and compensate for anomalies and inaccuracies in the detected current location. Accordingly, the system and method provides a more accurate estimation for the current location of the client device based on examination of heuristics and a priori environmental data. In particular, the system and method compensates for detected locations that are impossible or improbable based on previous locations of the client device, the layout of the environment in which the client device is traversing, data describing the user of the client device, and/or data describing the client device.

Abstract: A system and method is described that computes an estimated current location for a client device based on both the detected current location and the predicted current location of the client device. By utilizing the predicted current location, the system and method may account for and compensate for anomalies and inaccuracies in the detected current location. Accordingly, the system and method provides a more accurate estimation for the current location of the client device based on examination of heuristics and a priori environmental data. In particular, the system and method compensates for detected locations that are impossible or improbable based on previous locations of the client device, the layout of the environment in which the client device is traversing, data describing the user of the client device, and/or data describing the client device.

Abstract: A system and method is described that computes an estimated current location for a client device based on both the detected current location and the predicted current location of the client device. By utilizing the predicted current location, the system and method may account for and compensate for anomalies and inaccuracies in the detected current location. Accordingly, the system and method provides a more accurate estimation for the current location of the client device based on examination of heuristics and a priori environmental data. In particular, the system and method compensates for detected locations that are impossible or improbable based on previous locations of the client device, the layout of the environment in which the client device is traversing, data describing the user of the client device, and/or data describing the client device.

Abstract: Methods and systems are described for filtering out signal strength data associated with access points and a client device using heuristic and intra-access point analysis. The filtered data may be used to approximate the location of the client device. By filtering signal strength values through a heuristic and intra-access point analysis; the systems and methods described eliminate inaccurate or anomalistic values, which may negatively alter the estimated location of the client device. Accordingly, the systems and methods may produce more accurate client device location estimates by intelligently examining detected signal strength values.