Mobile Sensor Verification for In-Vehicle Driving Data Reliability
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Solution Overview
Problem
Existing methods lack accuracy in verifying the reliability of sensor data from mobile devices, particularly when determining if the device is in a vehicle and functioning properly, which is crucial for driving behavior monitoring and risk mitigation.
Innovation Solution
A method and system that involve receiving initial and subsequent sensor data from a mobile device, comparing the data to determine if it was collected while the device is in a vehicle, and transmitting notifications if the device is not functioning correctly, using a computing device to assess changes in accelerometer, gyroscope, location, and magnetometer data against predetermined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is collected and transmitted from mobile devices to monitor driving behavior, then driving risks can be mitigated and insurance discounts can be provided, but the reliability of the sensor data cannot be verified to ensure accurate monitoring
Solution Approach 1:
The system implements feedback by continuously monitoring sensor data from mobile devices and providing notifications back to users when the device is determined not to be in a vehicle or when sensors are not functioning properly. This closed-loop verification process ensures data reliability by comparing expected vehicle conditions against actual sensor readings and communicating verification results to users.
Solution Approach 2:
The patent introduces an intermediary verification system that acts as a mediator between mobile device sensors and the insurance/risk mitigation system. This intermediary component analyzes sensor data from multiple sources (accelerometer, gyroscope, magnetometer, location services) and determines whether the mobile device is properly positioned in a vehicle, thereby ensuring data reliability without requiring direct access to vehicle systems.
2Measurement precision
If multiple sensor types are monitored to verify device functionality, then data reliability improves, but the complexity of data processing and analysis increases
Solution Approach 1:
The verification system is segmented into distinct functional modules, each responsible for analyzing specific sensor types (accelerometer module, gyroscope module, magnetometer module, location module). Each module independently processes its designated sensor data and contributes to the overall determination of vehicle status, making the complex analysis manageable and maintainable while achieving high measurement precision through multiple independent verification channels.
Data Source
AI summary
Method and system for verifying a reliability of sensor data received from a mobile device of a user are disclosed. For example, the method includes receiving first sensor data collected and/or generated by one or more sensors of the mobile device from an application installed on a mobile device of a user at a first time, receiving second sensor data collected and/or generated by the one or more sensors of the mobile device from the application at a second time, determining whether the mobile device is in a vehicle that the user is driving during a time interval based at least upon the first sensor data and the second sensor data, and in response to the mobile device not being in the vehicle that the user is driving during the time interval, transmitting a notification to the mobile device indicating that the application does not work properly.