Bicycle Movement Evaluation Using Correlation Indicators
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Solution Overview
Problem
Existing bicycle movement detection systems struggle to distinguish between permitted and unauthorized movements, particularly in scenarios where accidental contact or minor adjustments occur, leading to false alarms and inefficiencies in theft detection.
Innovation Solution
A method utilizing a three-axis gyroscope to detect bicycle movement in three dimensions, calculating a correlation indicator based on the predictability of movement sequences, and determining the degree of correlation to classify movements as either correlated or uncorrelated, thereby differentiating between movements of interest and low interest, using a recursive covariance matrix and adjusted motion vectors to filter and evaluate the data in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensor data is used to detect all bicycle movements, then movement detection sensitivity is improved, but false alarm rate increases due to inability to distinguish permitted from unauthorized movements
Solution Approach 1:
The patent changes the parameter of movement analysis from simple detection to correlation-based evaluation. By calculating correlation indicators between sequential movement vectors and comparing them against threshold values, the system transforms raw motion data into meaningful classification results that distinguish authorized from unauthorized movements, thereby reducing false alarms while maintaining detection sensitivity
Solution Approach 2:
The patent introduces correlation indicator calculations as an intermediary between raw motion sensor data and final movement classification. This intermediary processing layer analyzes the temporal and spatial relationships between consecutive movement vectors, providing a bridge that enables accurate differentiation between permitted and unauthorized movements without directly modifying the sensor hardware
2Device complexity
If simple movement detection is used, then device complexity is reduced, but ability to distinguish movement types deteriorates
Solution Approach 1:
The patent applies dynamics by making the evaluation threshold adaptive rather than fixed. The threshold for correlation indication is adjusted based on the specific application scenario and movement characteristics, allowing the system to optimize its classification performance for different types of bicycle movements without requiring complex hardware changes
Solution Approach 2:
The patent replaces complex mechanical or electronic classification mechanisms with computational analysis of movement correlation. Instead of using multiple sensors or complex hardware-based movement type identification, the system uses software-based correlation calculations on data from a single motion sensor, significantly reducing device complexity while maintaining classification accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively differentiates between authorized and unauthorized bicycle movements, reducing false alarms and enhancing theft detection by accurately classifying movements based on correlation, ensuring that only significant, unauthorized movements trigger alerts.
Implementation Method 1
A three-axis gyroscope, for example, is used as such a motion sensor. The motion sensor is configured to detect the acceleration or velocity of the bicycle's movement along three axes perpendicular to each other, detecting linear movements along the axes or angular movements around the axes.
Data Source
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AI summary
The present invention relates to a method (100) for evaluating a movement of a bicycle (1), comprising: detecting (101) a movement of the bicycle (1) in three dimensions; calculating (102) an indicator whose value depends on the degree to which the detected movement of the bicycle (1) is a correlated movement; and determining (103) whether a movement of interest has been made by the bicycle (1) based on the calculated value of the indicator.