Allstate. has filed a patent for a data analysis computing system that analyzes movement and driving data to determine driving trips and associated drivers. The method involves establishing driving patterns during a training period and automatically identifying drivers based on collected data. GlobalData’s report on Allstate gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Allstate, was a key innovation area identified from patents. Allstate's grant share as of January 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Driver identification based on movement and driving data

Source: United States Patent and Trademark Office (USPTO). Credit: The Allstate Corp

A recently filed patent (Publication Number: US20240037998A1) outlines a method for analyzing movement data to identify driving patterns and drivers. The method involves launching a movement data analysis software application on a computing device during a training period, where predetermined driving patterns are established based on training data. Once the training period ends, the software application switches to a background application, allowing the device to automatically determine the current driving pattern for a driver using movement data from a sensor and time of day data from a timing device. By comparing the current driving pattern to the predetermined patterns, the system can identify the driver and output corresponding data.

This innovative approach to analyzing movement data has the potential to revolutionize driver identification and monitoring systems. By utilizing sensor data and time information, the method can accurately determine driving patterns and identify drivers without the need for manual input. This automated process not only streamlines the identification process but also provides valuable data for various applications such as driver monitoring, behavior analysis, and personalized driving experiences. Overall, this patent presents a novel method for efficient and accurate driver identification through movement data analysis.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.