Patent Issued for Distributed data processing systems for processing remotely captured sensor data (USPTO 11933624): Allstate Insurance Company

2024 APR 10 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Harish, Pratheek M. (Ontario, CA), Herrmann, Alexander (Chicago, IL, US), Schmitt, Kyle Patrick (Chicago, IL, US), Yeomans, Benjamin Robertson (Greensboro, NC, US), filed on November 29, 2021, was published online on March 19, 2024.

The patent’s assignee for patent number 11933624 is Allstate Insurance Company (Northbrook, Illinois, United States).

News editors obtained the following quote from the background information supplied by the inventors: “Processing relatively large datasets may require a relatively large amount of processing power. In some instances, deploying, configuring, and implementing a system that can effectively process such large datasets while also efficiently using computing resources, such as processing power and network bandwidth, may be difficult and present various technical challenges. Aspects of the disclosure provide technical solutions that overcome these and/or other technical challenges, particularly in instances in a which a computer system is configured to process large datasets comprised of sensor data that is remotely captured by various mobile computing devices.”

As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “Aspects of the disclosure provide effective, efficient, scalable, and convenient technical solutions that address and overcome the technical problems associated with processing remotely captured sensor data. For instance, one or more aspects of the disclosure relate to distributed data processing systems that are configured to receive sensor data that is remotely captured by various mobile computing devices and subsequently analyze the sensor data to derive various characteristics, such as detecting whether a user of a particular mobile computing device has taken an automobile trip and/or other features of such an automobile trip that may be identified based on the captured sensor data.

“In accordance with one or more embodiments, a computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

“In some embodiments, receiving the sensor data captured by the user computing device using the one or more sensors built into the user computing device may include receiving data captured by the user computing device using one or more of: an accelerometer, a gyroscope, a magnetometer, a barometer, a gravitometer, a proximity sensor, an ambient light sensor, an ambient temperature sensor, an orientation sensor, a pedometer, an altimeter, a satellite positioning sensor, or an activity recognition sensor.

“In some embodiments, analyzing the sensor data received from the user computing device by executing the one or more data processing modules may include executing one or more of a trip detection module, an axis alignment module, a driver detection module, a trip anomaly detection module, an exit point detection module, a left-right exit detection module, a front-rear detection module, an event detection module, a vehicle mode detection module, a places of interest determination module, a destination prediction module, a route prediction module, a customer insights module, or a car tracking module.

“In one or more additional or alternative embodiments, a computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a first user computing device, sensor data captured by the first user computing device using one or more sensors built into the first user computing device. The computing platform may analyze the sensor data received from the first user computing device to determine whether a first trip recorded in the sensor data received from the first user computing device was taken using a vehicle mode of transport or a non-vehicle mode of transport. Based on determining that the first trip recorded in the sensor data received from the first user computing device was taken using the vehicle mode of transport, the computing platform may generate first vehicular trip record data indicating that the first trip recorded in the sensor data received from the first user computing device was taken using the vehicle mode of transport. In addition, the computing platform may store the first vehicular trip record data in a driver detection database. Alternatively, based on determining that the first trip recorded in the sensor data received from the first user computing device was taken using the non-vehicle mode of transport, the computing platform may generate first non-vehicular trip record data indicating that the first trip recorded in the sensor data received from the first user computing device was taken using the non-vehicle mode of transport. In addition, the computing platform may store the first non-vehicular trip record data in the driver detection database.”

The claims supplied by the inventors are:

“1. A computing platform, comprising: at least one processor; a communication interface; a display; a graphical user interface presented on the display; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: receive, via the communication interface, from a first user computing device, sensor data captured by the first user computing device using one or more sensors built into the first user computing device during a trip in a vehicle; generate a geo-fence configuration file based at least partly on the sensor data; detect, based on the geo-fence configuration file, the trip defined by a start and an end; analyze the sensor data received from the first user computing device to align at least one axis of a reference frame of the first user computing device with at least one axis of a reference frame of the vehicle; based on aligning the at least one axis of the reference frame of the first user computing device with the at least one axis of the reference frame of the vehicle, generate alignment data relating the sensor data received from the first user computing device to the reference frame of the vehicle; store, in at least one database maintained by the computing platform and accessible to one or more data analysis modules associated with the computing platform, the alignment data relating the sensor data received from the first user computing device to the reference frame of the vehicle; and present, at the graphical user interface, map information corresponding to the geo-fence configuration file.

“2. The computing platform of claim 1, wherein the graphical user interface is presented on the display at the first user computing device.

“3. The computing platform of claim 1, further comprising presenting, at the graphical user interface, a confirmation prompt corresponding to the alignment data.

“4. The computing platform of claim 3, wherein the confirmation prompt is presented at the first user computing device to receive confirmation of the alignment data as determined by a distributed data processing computing platform.

“5. The computing platform of claim 1, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, axial information data corresponding to the alignment data.

“6. The computing platform of claim 1, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, an indication of whether a user of the first user computing device is determined to be a driver of the vehicle or a passenger of the vehicle.

“7. The computing platform of claim 6, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, a prompt to receive a confirmation of the indication of whether the user of the first user computing device is the driver of the vehicle or the passenger of the vehicle.

“8. The computing platform of claim 1, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, an indication of a point in time, determined by a distributed data processing computing platform, at which a user of the first user computing device exited the vehicle.

“9. The computing platform of claim 8, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, a prompt to receive a confirmation of the indication of the point in time at which the user of the first user computing device is determined to have exited the vehicle.

“10. The computing platform of claim 1, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, an indication of whether a user of the first user computing device is determined to be in a front portion of the vehicle during the trip or a rear portion of the vehicle during the trip.

“11. The computing platform of claim 10, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, a prompt to receive a confirmation of the indication of whether the user of the first user computing device is in the front portion of the vehicle during the trip or the rear portion of the vehicle during the trip.

“12. The computing platform of claim 1, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, an indication of a phone handling event associated with the first user computing device during the trip.

“13. The computing platform of claim 12, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, a prompt to receive a confirmation of the indication of the phone handling event associated with the first user computing device during the trip.

“14. A computing platform, comprising: at least one processor; a communication interface; a display; a graphical user interface presented on the display; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: receive, via the communication interface, from a first user computing device, sensor data captured by the first user computing device using one or more sensors built into the first user computing device during a trip in a vehicle; generating a geo-fence configuration file based at least partly on the sensor data; detect, based on the geo-fence configuration file, the trip defined by a start and an end; based on aligning at least one axis of a reference frame of the first user computing device with at least one axis of a reference frame of the vehicle, generate alignment data relating the sensor data received from the first user computing device to the reference frame of the vehicle; store, in at least one database maintained by the computing platform and accessible to one or more data analysis modules associated with the computing platform, at least one of the alignment data or the geo-fence configuration file; and present, at the graphical user interface, map information corresponding to the geo-fence configuration file.

“15. The computing platform of claim 14, further comprising presenting, at the graphical user interface, a confirmation prompt corresponding to the alignment data.

“16. The computing platform of claim 15, wherein the confirmation prompt is presented at the first user computing device to receive confirmation of the alignment data as determined by a distributed data processing computing platform.

“17. The computing platform of claim 15, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, axial information data corresponding to the alignment data.

“18. The computing platform of claim 14, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, an indication of whether a user of the first user computing device is determined to be a driver of the vehicle or a passenger of the vehicle.

“19. The computing platform of claim 18, wherein the computer-readable instructions, when executed by the at least one processor, cause the computing platform to: present, at the graphical user interface, a prompt to receive a confirmation of the indication of whether the user of the first user computing device is the driver of the vehicle or the passenger of the vehicle.

“20. A computing platform, comprising: at least one processor; a communication interface; a display; a graphical user interface presented on the display; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: receive, via the communication interface, from a first user computing device, sensor data captured by the first user computing device using one or more sensors built into the first user computing device during a trip in a vehicle; generating a geo-fence configuration file based at least partly on the sensor data; detect, based on the geo-fence configuration file, the trip defined by a start and an end; based on aligning at least one axis of a reference frame of the first user computing device with at least one axis of a reference frame of the vehicle, generate alignment data relating the sensor data received from the first user computing device to the reference frame of the vehicle; store, in at least one database maintained by the computing platform and accessible to one or more data analysis modules associated with the computing platform, at least one of the alignment data or the geo-fence configuration file; present, at the graphical user interface, map information corresponding to the geo-fence configuration file; and present, at the graphical user interface, one or more indications of whether a user of the first user computing device is determined to be a driver of the vehicle or a passenger of the vehicle.”

For additional information on this patent, see: Harish, Pratheek M. Distributed data processing systems for processing remotely captured sensor data. U.S. Patent Number 11933624, filed November 29, 2021, and published online on March 19, 2024. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11933624)&db=USPAT&type=ids

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