Trueposition, Inc.

Telecommunication Systems, Inc.

Visa International Service Association

Thomas S Ginter

Robert J Anderson

Matthew L Ward

Jeffrey Francis Bull

Randall A Snyder

Paul Matthew Czarnecki

Lance Douglas Pitt

Louis A Stilp

Michael F Buhrmann

Joseph W Sheehan

Vineet Sachdev

Donald Le Roy Mitchell

Firdaus Aryana

Edwin E McCook

John Solley

Anthony Richard Brigidi

Michael John Kovach, Jr

Gordon John Hines

Roger Stuart Marshall

Victor C Burton

Todd Poremba

Mark John Ramberg

Donald LeRoy Mitchell, Jr

Salman Ali

Tim Pann

Stephen Lee Harrison

Systems and methods for verifying a financial transaction based on an account number, a mobile directory number associated with the financial transaction, a mobile directory number associated with the account number, an email address associated with the account number, internet protocol address data associated with the financial transaction, and internet protocol address data associated with accesses of the email address.

Data verification in transactions in distributed network

A system and method for verifying a secure transaction by evaluating the transaction, generating a first verification value for the transaction, sending an electronic mobile message to a wireless device associated with the transaction, receiving a response from the wireless device to the electronic mobile message associated with the transaction and generating a new second verification value for the transaction based on the response is provided. The second verification value may be used to validate or invalidate the secure transaction.

Mobile communications message verification of financial transactions

Device independent access to stored caller data during an emergency communications event. A call server intercepts an emergency call and determines the capabilities of a calling device. Based on calling device capability, the call server uses one or more of the following device independent methods to ascertain a caller identity, independent of a calling device: interactive voice response redirect, HTTP authentication, SIP INFO method, biometric recognition, human interaction, and alternate number dialing. A caller identity is then used to query a subscriber database for a unique caller profile database key (CPDBK) assigned to the caller (unless a CPDBK is already determined). A call server uses a CPDBK to query a caller profile database (CPDB) for relevant caller data. Relevant caller data and the intercepted emergency communications event are then passed to an emergency call processing system, whereby relevant caller data may be used to more effectively address an emergency situation.

Device independent caller data access for emergency calls

A gateway can be configured to receive an emergency event message in a predefined format via a network. The emergency event message can characterize a location and a nature of an emergency event. The gateway can also be configured to identify a particular Public Safety Answering Point (PSAP) customer premise equipment (CPE) to service the emergency event. The gateway can further be configured determine a format of messages employable by the particular PSAP. The gateway can still further be configured to provide the particular PSAP CPE with an output message in the format employable by the particular PSAP CPE. The output message can characterize the nature and the location of the emergency event.

Emergency event message

Methods and systems are employed by a wireless location system (WLS) for locating a wireless device operating in a geographic area served by a wireless communications system. An exemplary method includes monitoring a set of signaling links of the wireless communications system, and detecting at least one predefined signaling transaction occurring on at least one of the predefined signaling links. Then, in response to the detection of the at least one predefined network transaction, at least one predefined location service is triggered.

Advanced triggers for location-based service applications in a wireless location system

iAlert_Enhanced_Alert_Manager enables a user to register an interest in their current location, as well as persons, places and/or things in which the user holds some regard. The iAlert_Enhanced_Alert_Manager provides notification and clarifying information to user's devices concerning events/happenstance that have occurred or are likely to occur within a proximity of registered persons, places, and/or things. The iAlert_Enhanced_Alert_Manager comprises data structures (e.g. an Affinity Table, a SPIN table, a SPIN-List Table, an Affinity-List Table, and a Keyword-List Table) to manage affinities, Spheres of Influence (SPINs), and relationships therebetween that may positively or negatively induce a person. Timely notification of events/happenstance to a user comprises the computation of iEvent-vectors and iAlert-vectors. An iEvent-vector contains fields pertaining to events/happenstance whereas an iAlert-vector comprises information pertaining to notifications. Transmission of a notification is determined as a function of the magnitude of an event/happenstance and the proximity of an event/happenstance to registered objects of interest.

iALERT enhanced alert manager

An N-dimensional affinity confluencer comprises an affinity table to maintain a plurality of affinities for each of a plurality of wireless devices. A sphere of influence (SPIN) table provides an influence for determination of a confluence between affinities maintained in the affinity table. An affinity confluence determination module determines an affinity confluence between the plurality of wireless devices and an influence parameter associated with the sphere of influence (SPIN) table. An affinity confluence is determined from among a plurality of wireless devices by determining a confluence of at least two predefined affinities from among a plurality of wireless devices. A sphere of influence parameter is applied to the confluence to determine those of the plurality of wireless devices defined by an affinity confluence. The plurality of wireless devices need not be within a common communication network.

N-dimensional affinity confluencer

An Applications Processor () including a centralized database system is used in a wireless location system (WLS). The APsmay be used to manage resources in the WLS, including signal collection systems (SCSs) and TDOA location processors (TLPs). Each APcontains a database containing triggers for the WLS. The WLS can be programmed to locate only certain pre-determined types of transmissions. When a transmission of a pre-determined type occurs, then the WLS is triggered to begin location processing. Each APalso contains applications interfaces that permit a variety of applications to securely access the WLS. These applications may access location records in real time or non-real time, create or delete certain types of triggers, or cause the WLS to take other actions. Each APis also capable of certain post-processing functions.

Applications processor including a database system, for use in a wireless location system

Method and systems are employed by a wireless location system (WLS) for locating a wireless device operating in a geographic area served by a wireless communications system. An exemplary method includes monitoring a set of signaling links of the wireless communications system, and detecting at least one predefined signaling transaction occurring on at least one of the predefined signaling links. Then, in response to the detection of the at least one predefined network transaction, at least one predefined location service is triggered.

Mobile LMUs can be used in a Wireless Location System to provide detection coverage in areas lacking adequate receiver coverage. The mobile LMUs can be used to detect the radio frequency (RF) transmissions from wireless handsets and devices over a period of time to permit determination of their location. The mobile LMU's time, position, and velocity is calculated and transmitted to a SMLC along with any transmissions received from wireless devices. The SMLC analyzes and resolves the Doppler component of the wireless device while compensating for the Doppler component of the mobile LMU. The position and velocity of the wireless device can be compared with real-time imagery taken by the mobile LMU platform to accurately determine the location of the wireless device. To enhance the mobile LMU's ability to detect a signal of interest, which may be very weak and/or corrupted by noise, a process may be employed whereby the low power mobile terminals' signals are received at receiving sites and stored in memory. Then, a more powerful replica of the SOI is received at a later time from a network controller, or BTS, and this is employed to enhance the correlation processing of the SOI in memory.

Augmentation of commercial wireless location system (WLS) with moving and/or airborne sensors for enhanced location accuracy and use of real-time overhead imagery for identification of wireless device locations

Growing community of inventors

Bellevue, WA, United States of America

Thomas S Ginter