Dynamic Bike Fitting via Force Sensor Feedback
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Solution Overview
Problem
Traditional bike fitting systems struggle to perfectly adapt bicycle specifications configured in an indoor environment to the outdoor riding environment, as they do not account for dynamic balance changes and varied terrain.
Innovation Solution
A system that includes an image capture device, force sensors, and a processor to capture images and detect forces applied by the rider, allowing for the generation of bicycle specifications that can be optimized based on both indoor and outdoor riding data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bike fitting is performed using traditional indoor image recognition systems, then the user's riding position can be determined, but the bicycle specifications do not adapt well to outdoor riding environments with varied terrain and dynamic balance requirements
Solution Approach 1:
The system transitions from static indoor bike fitting to dynamic outdoor bike fitting by continuously collecting force sensor data during actual riding. The bicycle specifications are dynamically adjusted based on real-time feedback from force sensors that measure rider input on handlebars, pedals, and saddle, enabling adaptation to varying outdoor terrain and conditions.
Solution Approach 2:
The system implements a feedback loop where force sensors mounted on the bicycle collect data about rider forces during outdoor riding. This data is transmitted to a server that analyzes the information and generates optimized bicycle specifications, which are then fed back to the rider. This closed-loop feedback enables continuous improvement of bike fitting based on actual outdoor performance.
2Adaptability or versatility
If multiple force sensors are added to collect outdoor riding data, then the adaptability of bicycle specifications improves, but the device complexity increases
Solution Approach 1:
The force sensing system is segmented into multiple independent measurement points located at different bicycle components (handlebars, pedals, saddle). Each force sensor independently measures forces at its specific location, and the server integrates these segmented data streams to comprehensively analyze riding dynamics. This segmentation allows detailed local measurements without requiring a monolithic complex system.
Solution Approach 2:
The force sensors serve multiple functions: they measure rider forces for bike fitting optimization, track riding dynamics, and provide data for performance analysis. The same sensor infrastructure supports both indoor and outdoor fitting scenarios, making the system multi-functional and reducing overall complexity despite the added capability.
Data Source
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AI summary
A system (100), a method, and a non-volatile computer-readable storage medium (120) for bike fitting are provided. The system (100) includes an image capture device (140), a first force sensor (150, 151, 152), and a processor (110). The image capture device (140) captures an image of a user (300) riding a first bicycle (200, 400). The first force sensor (150, 151, 152) is disposed on the first bicycle (200, 400) to detect a first force. The processor (110) is communicatively connected to the image capture device (140) and the first force sensor (150, 151, 152), in which the processor (110) is configured to execute: determining a first riding position of the user (300) according to the image; generating a first bicycle specification according to the first riding position and the first force; and outputting the first bicycle specification.