Bicycle User Verification via Crank Torque and Speed Signal Sequences
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Solution Overview
Problem
Current user verification systems for bicycles and electric bicycles face challenges with low protection effectiveness and high integration costs, particularly due to the difficulties in updating passwords and the costly and technically complex integration of biometric modules.
Innovation Solution
A user verification method that utilizes a signal sequence assembled from torque, speed, and angle signals sensed by existing sensors on the bicycle, which are dissected into signal segments and combined to form a verification key, allowing for secure and cost-effective user identity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a biometric module is integrated to verify user identity, then security and protection effectiveness are improved, but integration cost and technical complexity increase significantly
Solution Approach 1:
The patent applies universality by enabling existing bicycle sensors (crank position sensor, speed sensor, torque sensor) to serve dual purposes: their original functions for bicycle operation control and an additional function for user identity verification. The sensing module collects signals for both bicycle control and generates characteristic signal sequences for authentication, making the system multi-functional without adding dedicated biometric hardware.
Solution Approach 2:
The system applies self-service by using the bicycle's own existing sensors to generate verification data. The crank position sensor, speed sensor, and torque sensor naturally produce signals during normal bicycle operation, and these signals are processed to create unique signal sequences that serve as authentication credentials. The system verifies user identity using data generated by the bicycle's own operation rather than requiring external biometric scanning devices.
2Reliability
If a biometric module is integrated to verify user identity, then protection effectiveness is improved, but cost increases significantly
Solution Approach 1:
The patent applies universality by enabling existing bicycle sensors (crank position sensor, speed sensor, torque sensor) to serve dual purposes: their original functions for bicycle operation control and an additional function for user identity verification. The sensing module collects signals for both bicycle control and generates characteristic signal sequences for authentication, making the system multi-functional without adding dedicated biometric hardware.
Solution Approach 2:
The system replaces expensive biometric modules with inexpensive existing sensors that are already part of the bicycle's standard equipment. By reusing components designed for other purposes (crank position sensing, speed measurement, torque detection), the system achieves secure verification without the high cost of dedicated biometric scanning devices, effectively using cheap existing objects instead of expensive new ones.
3Ease of operation
If a default key code is used for user verification, then ease of operation is improved, but security and protection effectiveness deteriorate due to easy cracking and frequent updating requirements
Solution Approach 1:
The patent applies dynamics by transforming the static, fixed key code into a dynamic, changing signal sequence. Instead of a constant password that remains the same until manually updated, the verification credential becomes a dynamic signal sequence that automatically changes with each bicycle operation. The sequence is generated in real-time based on crank position, speed, and torque signals, making it dynamic and adaptive rather than static and vulnerable.
Solution Approach 2:
The system applies periodic action by generating verification signal sequences at regular intervals during bicycle operation. Each complete rotation of the crank or specific operational cycle produces a new signal segment, and multiple segments are combined to form the complete verification sequence. This periodic generation ensures the verification data is continuously refreshed and tied to actual usage patterns rather than remaining static.
Data Source
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AI summary
Provided are a bicycle control system and a user verification method thereof, including a sensing module (10) and a control module (20) installed on a bicycle. The sensing module (10) obtains a torque signal and an angle signal from a crank sensing component (12), further obtains a speed signal from a speed sensing unit (13), and outputs the torque signal, the angle signal, and the speed signal to the control module (20); the control module (20) assembles the torque signal, the angle signal, and the speed signal into a signal sequence as a key to verify a user identity for the bicycle.