Abstract: Implementations relate to systems and methods for generating a user profile based on periodic location fixes. A cellular telephone or other mobile device captures location information via GPS or other capability. A location history can be generated from accumulated location fixes. The location history is then analyzed to detect the user's travel and dwell patterns. That information can be combined with business classification (e.g., SIC, etc.) or Point of Interest (POI) databases to identify a user's likely home, work, or other locations based on dwell-times, time of day, and other parameters. The user's age and gender can potentially be inferred based on types of locations visited, such as school locations. The user profile can be correlated with market segmentation databases to generate a marketing rating, such as a Nielsen or Claritas rating. Advertising, media, or other content can then be tailored to the user's individual location and demographic profiles.

Abstract: Implementations relate to systems and methods for aggregating and presenting data related to geographic locations. Geotag data related to geographic locations and associated features or attributes can be collected to build a regional profile characterizing a set of locations within the region. Geotag data related to the constituent locations, such as user ratings or popularity ranks for restaurants, shops, parks, or other features, sites, or attractions, can be combined to generate a profile of characteristics of locations in the region. The platform can generate recommendations of locations to transmit to the user of a mobile device, based for instance on the location of the device in the region as reported by GPS or other location service and the regional profile. Geotag data can include audio data analyzed using region-specific terms, and user recommendations can be presented via dynamic menus based on regional profiles, user preferences or other criteria.

Abstract: Systems and methods for generating a location of a mobile device using cell sector data are provided. A mobile device is in service connection with a base station, which has a corresponding service area. Upon entering the service area of another base station, the mobile device enters service connection with the second base station in a handoff event. The mobile device and/or the base station determines the location of each of the base stations, and estimates the approximate location of the mobile device based on the locations of the base stations. In one or more implementations, the estimated position can comprise a midpoint of a line joining the two base stations. The systems and methods can be implemented with a random location generator to improve accuracy. The approximate location of the mobile device can be inputted into a GPS-enabled device to reduce times to first fix.

Abstract: Implementations relate to systems and methods for aggregating and presenting data related to geographic locations. Geotag data related to geographic locations and associated features or attributes can be collected to build a regional profile characterizing a set of locations within the region. Geotag data related to the constituent locations, such as user ratings or popularity ranks for restaurants, shops, parks, or other features, sites, or attractions, can be combined to generate a profile of characteristics of locations in the region. The platform can generate recommendations of locations to transmit to the user of a mobile device, based for instance on the location of the device in the region as reported by GPS or other location service and the regional profile. Geotag data can include audio data analyzed using region-specific terms, and user recommendations can be presented via dynamic menus based on regional profiles, user preferences or other criteria.

Abstract: Implementations relate to systems and methods for generating a user profile based on periodic location fixes. A cellular telephone or other mobile device captures location information via GPS or other capability. A location history can be generated from accumulated location fixes. The location history is then analyzed to detect the user's travel and dwell patterns. That information can be combined with business classification (e.g., SIC, etc.) or Point of Interest (POI) databases to identify a user's likely home, work, or other locations based on dwell-times, time of day, and other parameters. The user's age and gender can potentially be inferred based on types of locations visited, such as school locations. The user profile can be correlated with market segmentation databases to generate a marketing rating, such as a Nielsen or Claritas rating. Advertising, media, or other content can then be tailored to the user's individual location and demographic profiles.

Abstract: Methods, devices, and systems are presented for integrated wireless device location determination. A method for determining location on a wireless device includes receiving a request for wireless device location and receiving a plurality of wireless network messages. Each message is transmitted from a wireless network edge device associated with one of a plurality of wireless networks. Further included is obtaining location measurement information from the received wireless network messages and obtaining location determining assistance information for each of the wireless networks associated with the received wireless network messages. The method further includes determining more than one wireless device location based on the location measurement information and the location determining assistance information, determining an integrated wireless device location based on the more than one wireless device location, validating and storing the integrated wireless device location.

Abstract: Methods, devices, and systems are presented for integrated wireless device location determination. A method for determining location on a wireless device includes receiving a request for wireless device location and receiving a plurality of wireless network messages. Each message is transmitted from a wireless network edge device associated with one of a plurality of wireless networks. Further included is obtaining location measurement information from the received wireless network messages and obtaining location determining assistance information for each of the wireless networks associated with the received wireless network messages. The method further includes determining more than one wireless device location based on the location measurement information and the location determining assistance information, determining an integrated wireless device location based on the more than one wireless device location, validating and storing the integrated wireless device location.

Abstract: Disclosed is a system for improving applications based on location information of objects. The system includes a receiver module configured to receive the location information of the objects from at least one location database in a communication network. The objects are associated with corresponding location-aware devices. Each location-aware device of the location-aware devices includes the location information of at least one object of the objects. Further, a processing module included in the system is configured to generate at least one of behavioral and trending information of the objects and vehicular traffic information based on the location information of the objects. Furthermore, a transmitter module included in the system is configured to transmit at least one of the behavioral and trending information of the objects and the vehicular traffic information to at least one information database through the communication network. A method and a computer program product are also disclosed.

Abstract: The present invention describes a method and system of extracting useful information from the location data record of a Wireless Device, available at Position Determination System (PDS) in a wireless network such as CDMA, GSM, UMTS, WiFi and other current and future networks. The location data may include Time, Longitude, Latitude, Altitude, Velocity and Direction of the Object. The information extracted and derived from this data is broadly related to, but not limited to, 1) Vehicular Traffic information 2) Demographic behavioral and trending information. The current invention is also envisioning a system and protocol of conveying this information to other systems that can use this information along with information form other sources, if any, for providing additional services. As a corollary, the invention is also proposing Location Enabled Remote Sensor System.