Allstate‘s patent involves a computing platform that uses physical trait data, mobility patterns, and vehicle performance data to predict user behavior and generate customized outputs based on risk profiles. Machine learning is applied to analyze the data for decision-making behavior. The platform then generates a user interface for display on a mobile device. GlobalData’s report on Allstate gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Allstate, was a key innovation area identified from patents. Allstate's grant share as of May 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Customized output generation based on user physical traits and behavior
A recently granted patent (Publication Number: US12002068B2) outlines a computing platform designed to enhance user safety and decision-making while interacting with a vehicle. The platform includes a processing unit, communication interface, and memory unit storing instructions for generating customized outputs based on physical trait data, mobility patterns, and vehicle performance data. By applying machine learning to these inputs, the platform determines a user's decision-making behavior and risk profile, offering tailored options to mitigate potential risks. Additionally, the platform includes authentication features such as capturing images for user verification, ensuring secure interactions.
Furthermore, the patent extends to computing devices that interact with the platform, capturing physical traits and mobility patterns to receive customized outputs based on decision-making behavior. These devices utilize sensors to capture data like blood pressure, heart rate, and pulse, enhancing the accuracy of risk profiles generated by the platform. By validating physical traits based on location data and offering instructions for specific activities, the computing devices provide a comprehensive approach to user safety and decision-making. Overall, the patent highlights a sophisticated system that leverages data analytics and machine learning to promote safer interactions between users and vehicles, ultimately enhancing overall user experience and security.
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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.
