Sensor-Based Bicycle Fitting System for Automated Position Adjustment
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Solution Overview
Problem
Current bicycle fitting methods lack accuracy and efficiency, relying heavily on personal judgment and experience, which can lead to inconsistent results and increased fitting time, especially as cycling becomes more competitive and diverse in its applications.
Innovation Solution
A system and method that utilizes sensors and processors to evaluate and adjust saddle and handlebar positions based on various parameters, including mechanical, biomechanical, and user comfort factors, using iterative processes to determine optimal positions for improved riding efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual bicycle fitting methods are used, then the process can be completed with simple equipment, but the accuracy and consistency of fitting results deteriorate due to reliance on personal judgment
Solution Approach 1:
The patent replaces manual mechanical measurement methods with sensor-based automated measurement systems. Sensors detect rider position, bike geometry, and performance data objectively, eliminating reliance on fitter's subjective judgment and improving measurement precision while accepting increased system complexity.
Solution Approach 2:
The system enables self-measurement and self-adjustment capabilities through automated data collection and analysis. The sensors and processing system work autonomously to evaluate fitting parameters without requiring constant manual intervention, improving consistency while managing complexity through automation.
2Productivity
If traditional bicycle fitting methods are used, then the equipment required remains simple, but the fitting time increases due to lack of standardized procedures
Solution Approach 1:
The system performs preliminary data collection and analysis automatically during the fitting process. Sensors pre-capture position and performance data, and the processing system pre-evaluates multiple parameters simultaneously, enabling faster decision-making and reducing overall fitting time despite increased equipment complexity.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is processed in real-time to evaluate fitting parameters and provide immediate guidance for adjustments. This automated feedback mechanism accelerates the iterative fitting process, improving productivity while managing time through systematic evaluation.
3Reliability
If manual judgment is used in bicycle fitting, then the system remains simple to operate, but the consistency of results deteriorates across different fitters
Solution Approach 1:
The patent implements a universal measurement and evaluation system that applies the same sensor-based methodology and processing algorithms to all riders regardless of which fitter is performing the assessment. This standardized multi-functional system ensures consistent results across different users and fitters, improving reliability while accepting increased system complexity.
Data Source
AI summary
A method for bicycle fitting includes receiving evaluation factors based on one or more scenario parameters; positioning at least one of a saddle and a handlebar to one or more positions when a user is pedaling; determining values for the evaluation factors according to data received from one or more sensors at the one or more positions; and processing the values to identify one or more recommended positions for the saddle or the handlebar.