Swiss Re has been granted a patent for a method that utilizes sensory data from mobile devices, specifically accelerometers and gyroscopes, to identify and classify vehicle users. The system detects movement patterns to determine whether a user enters or exits a vehicle from the left or right side. GlobalData’s report on Swiss Re 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 Swiss Re, was a key innovation area identified from patents. Swiss Re's grant share as of July 2024 was 36%. Grant share is based on the ratio of number of grants to total number of patents.
User identification and classification based on vehicle movement data
The granted patent US12065148B2 outlines a method for identifying and classifying vehicle users through sensory data collected by a mobile device equipped with an accelerometer and gyroscope. The mobile device connects to a cellular data transmission network, allowing it to function as a wireless node. The method involves measuring gravitational acceleration and movement patterns to detect when a user enters or exits a vehicle. By analyzing acceleration data and rotational movements, the system can classify whether the user is entering or exiting from the left or right side of the vehicle. Additionally, it identifies moments of entry or exit by detecting upward or downward acceleration, correlating these movements with the orientation of the mobile device.
Further claims detail the classification of detected movement patterns as either sitting or other movements, with specific thresholds and time windows established for accurate detection. The method also includes determining the orientation of the mobile device to classify the user as either a driver or a passenger based on the duration of these orientations. The classification process incorporates decision-tree algorithms and considers various movement patterns, including rotations that indicate the side of entry or exit. Overall, the patent presents a comprehensive approach to user identification and classification in vehicles, leveraging advanced sensor data processing techniques.
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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.
