Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: Systems and methods for character error correction are provided, useful for a user of mobile appliances to produce written text with reduced errors. The system includes an interface, a word prediction engine, a statistical engine, an editing distance calculator, and a selector. A string of characters, known as the inputted word, may be entered into the mobile device via the interface. The word prediction engine may then generate word candidates similar to the inputted word using fuzzy logic and user preferences generated from past user behavior. The statistical engine may then generate variable is error costs determined by the probability of erroneously inputting any given character. The editing distance calculator may then determine the editing distance between the inputted word and each of the word candidates by grid comparison using the variable error costs. The selector may choose one or more preferred candidates from the word candidates using the editing distances.

Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: A gateway can be configured to receive measurement data that can characterizes measurements taken at a mobile device. The measurement data can include location information for the mobile device. The gateway can also be configured to calculate a location trust score for the mobile device. The location trust score can characterize the likelihood that the location information is at least one of accurate and trustworthy. The gateway can be further configured to generate trusted location information that characterizes a location of the mobile device based on the location trust score.

Abstract: A gateway can be configured to receive measurement data that can characterizes measurements taken at a mobile device. The measurement data can include location information for the mobile device. The gateway can also be configured to calculate a location trust score for the mobile device. The location trust score can characterize the likelihood that the location information is at least one of accurate and trustworthy. The gateway can be further configured to generate trusted location information that characterizes a location of the mobile device based on the location trust score.

Abstract: A gateway can be configured to receive measurement data that can characterizes measurements taken at a mobile device. The measurement data can include location information for the mobile device. The gateway can also be configured to calculate a location trust score for the mobile device. The location trust score can characterize the likelihood that the location information is at least one of accurate and trustworthy. The gateway can be further configured to generate trusted location information that characterizes a location of the mobile device based on the location trust score.

Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: User input from a reduced keypad is disambiguated and compared with a first dynamic lexicon, and predicted matches (e.g. either a single word or phrase) are offered. If a user continues to type beyond a boundary condition, then input is no longer predicted from the first lexicon, but instead is interpreted as a request for matches from a second, quasi-static lexicon allowing words or phrases to be entered. When the entry is accepted, data is transmitted to a remote receiver and may be parsed as an inquiry for subsequent operation. Following acceptance, the apparatus invokes a program suitable for interacting with the response generated to the inquiry.

Abstract: A mobile device can include an application configured to set an update interval for location information characterizing a location of the mobile device based on a current location of the mobile device and a location of a wireless device has an associated geofence. The update interval can define an interval of time between queries for the location information.

Abstract: User input from a reduced keypad is disambiguated and compared with a first dynamic lexicon, and predicted matches (e.g. either a single word or phrase) are offered. If a user continues to type beyond a boundary condition, then input is no longer predicted from the first lexicon, but instead is interpreted as a request for matches from a second, quasi-static lexicon allowing words or phrases to be entered. When the entry is accepted, data is transmitted to a remote receiver and may be parsed as an inquiry for subsequent operation. Following acceptance, the apparatus invokes a program suitable for interacting with the response generated to the inquiry.

Abstract: A least squares geofence method that minimizes trigger misfires caused by data variability and location blunders and minimizes delayed/missed entry triggers generated under urban or indoor conditions. The least squares geofence method uses a weighted least squares (LS) model to compute a location estimate for a target device. A LS location estimate is used to determine if a target device is located inside or outside a predefined geofence. The present invention additionally comprises a Kalman filter geofence method that further improves the accuracy of entry/exit geofence triggers. A Kalman filter geofence method uses a Kalman filter to filter location data retrieved for a target device. Filtered location data is used to determine if a target device is located inside or outside a predefined geofence. A Kalman filter geofence method estimates velocity and heading information for a target device to generate accurate entry/exit geofence triggers for devices in fast moving mode.

Abstract: User input from a reduced keypad is disambiguated and compared with a first dynamic lexicon, and predicted matches (e.g. either a single word or phrase) are offered. If a user continues to type beyond a boundary condition, then input is no longer predicted from the first lexicon, but instead is interpreted as a request for matches from a second, quasi-static lexicon allowing words or phrases to be entered. When the entry is accepted, data is transmitted to a remote receiver and may be parsed as an inquiry for subsequent operation. Following acceptance, the apparatus invokes a program suitable for interacting with the response generated to the inquiry.

Abstract: A system and method for character error correction is provided, useful for a user of mobile appliances to produce written text with reduced errors. The system includes an interface, a word prediction engine, a statistical engine, an editing distance calculator, and a selector. A string of characters, known as the inputted word, may be entered into the mobile device via the interface. The word prediction engine may generate word candidates similar to the inputted word using fuzzy logic and user preferences generated from past user behavior. The statistical engine may generate variable error costs determined by the probability of erroneously inputting any given character. The editing distance calculator may determine the editing distance between the inputted word and each of the word candidates by grid comparison using the variable error costs. The selector may choose one or more preferred candidates from the word candidates using the editing distances.

Abstract: A system and method for character error correction is provided, useful for a user of mobile appliances to produce written text with reduced errors. The system includes an interface, a word prediction engine, a statistical engine, an editing distance calculator, and a selector. A string of characters, known as the inputted word, may be entered into the mobile device via the interface. The word prediction engine may generate word candidates similar to the inputted word using fuzzy logic and user preferences generated from past user behavior. The statistical engine may generate variable error costs determined by the probability of erroneously inputting any given character. The editing distance calculator may determine the editing distance between the inputted word and each of the word candidates by grid comparison using the variable error costs. The selector may choose one or more preferred candidates from the word candidates using the editing distances.

Abstract: A system and method for semi-automated dialing is provided. The system includes a display, and a standard keyboard upon which some keys have both a numeric and alphabetic interpretation. An input is received from the keyboard. A determination is made if the input consists only from the keys that have both numeric and alphabetic interpretation. If this is the case, then a numeric analysis is performed. Otherwise, a word analysis is performed. The numeric analysis includes determining if the input has an alternate interpretation, and if so then displaying them so that the user may select the intended input. Determining alternate interpretations includes comparing the input with a dictionary. The word analysis includes searching for word matches between the received input and words in a dictionary, and then converting the matched words into numbers using telephone convention. Results from the analyses may be dialed.

Abstract: The invention may be embodied as a system having and/or a method utilizing a searchable database of index information. Each index in the database may have (a) at least one descriptor, which matches an entry that a user might provide in order to identify an item, (b) a first pointer which identifies a location of the item, and (c) a second pointer which identifies a location of information that may be helpful to the user in deciding whether to request retrieval of the item. The first pointers of one index may be the same as first pointers in a different index. The second pointer may identify a general class to which an item belongs.

Abstract: A system and method for character error correction is provided, useful for a user of mobile appliances to produce written text with reduced errors. The system includes an interface, a word prediction engine, a statistical engine, an editing distance calculator, and a selector. A string of characters, known as the inputted word, may be entered into the mobile device via the interface. The word prediction engine may then generate word candidates similar to the inputted word using fuzzy logic and user preferences generated from past user behavior. The statistical engine may then generate variable error costs determined by the probability of erroneously inputting any given character. The editing distance calculator may then determine the editing distance between the inputted word and each of the word candidates by grid comparison using the variable error costs. The selector may choose one or more preferred candidates from the word candidates using the editing distances.

Abstract: User input from a reduced keypad is disambiguated and compared with a first dynamic lexicon, and predicted matches (e.g. either a single word or phrase) are offered. If a user continues to type beyond a boundary condition, then input is no longer predicted from the first lexicon, but instead is interpreted as a request for matches from a second, quasi-static lexicon allowing words or phrases to be entered. When the entry is accepted, data is transmitted to a remote receiver and may be parsed as an inquiry for subsequent operation. Following acceptance, the apparatus invokes a program suitable for interacting with the response generated to the inquiry.