Vehicle Driver Identification via Torque and Acceleration Sensors
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Solution Overview
Problem
Existing methods for identifying and authenticating the driver of a two-wheeler, such as bicycles, are inadequate in automatically adapting settings and preventing unauthorized use, especially in scenarios like bike sharing and theft prevention.
Innovation Solution
A method and device that record and compare operating variables and biometric parameters to identify authorized users, allowing for automatic adaptation of settings and enabling or disabling vehicle components based on recognition, using sensors to detect torque, acceleration, rotational frequency, and GPS signals, with biometric data for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID identifier or biometric data is used for identification, then driver identification capability is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical/biometric identification systems with a sensor-based system that measures operating variables (torque, acceleration, rotational frequency). This substitution maintains identification reliability while reducing device complexity by using standard sensors instead of specialized biometric hardware.
Solution Approach 2:
The patent creates a behavioral profile copy of the driver's operating patterns and compares real-time sensor data against this profile. This copying approach enables identification without requiring direct biometric measurement, simplifying the hardware while maintaining reliability through pattern recognition.
2Measurement precision
If multiple operating variables and biometric parameters are recorded, then identification accuracy is improved, but loss of information increases
Solution Approach 1:
The patent extracts and processes only the most relevant operating variables (torque, acceleration, rotational frequency) from the full set of possible sensor data. By selecting only key parameters for identification, the system maintains high accuracy while reducing the overall data processing burden and information loss.
Solution Approach 2:
The patent segments the identification process into distinct phases: collecting operating variables, comparing against stored profiles, and making authentication decisions. This segmentation allows systematic processing of multiple parameters without overwhelming the system, managing information flow efficiently.
3Ease of operation
If automatic adaptation of settings is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system automatically adapts vehicle settings based on the identified driver's profile without requiring manual intervention. The control unit self-adjusts parameters such as motor assistance levels and display configurations, improving ease of operation while keeping the automation logic relatively simple by relying on pre-stored driver profiles.
Data Source
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AI summary
The present invention claims a method and a device for identifying the driver of a vehicle. It determines both the extent to which the driver is authorized to operate the vehicle and provides the possibility of automatically adapting vehicle settings to individual users.