Mobile Motion Capture Sensor for Sporting Equipment Fit
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Solution Overview
Problem
Current sporting equipment fitting systems fail to optimize equipment fit based on a user's size, range of motion, and speed, as they do not utilize motion capture data from high-resolution sensors or data mining of user and equipment performance data, and lack mobile device compatibility for immediate purchasing and custom order fulfillment.
Innovation Solution
A mobile device-based system that uses a motion capture sensor to measure user dimensions, range of motion, and speed, and then captures equipment motion data to optimize fit, utilizing algorithms and data mining to suggest the best performing equipment based on user performance data, enabling immediate purchase and custom order fulfillment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion capture sensors and data mining algorithms are integrated into mobile devices for equipment fitting, then equipment fit optimization and performance enhancement are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The mobile device is designed to perform multiple functions: capturing motion data from users, processing equipment performance data, running data mining algorithms, and providing equipment recommendations. This multi-functional approach consolidates what would otherwise require separate specialized systems into a single universal device, improving measurement precision while managing complexity through integration.
Solution Approach 2:
The system introduces a mobile device as an intermediary between the user, motion capture sensors, and equipment databases. This intermediary handles data collection, processing, and recommendation generation, simplifying the overall system architecture by centralizing complex data processing tasks in a dedicated mobile platform rather than distributing complexity across multiple components.
2Measurement precision
If high-resolution motion capture data is collected and processed in real-time on mobile devices, then user performance measurement accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes and stores equipment performance data in databases before it is needed for recommendations. By having data ready in advance and organizing it in accessible formats, the system reduces the time required for real-time processing during actual equipment fitting sessions, maintaining high measurement precision without proportional increases in processing time.
Solution Approach 2:
The patent replaces traditional mechanical data processing methods with software-based algorithms and computational approaches. Data mining algorithms and statistical analysis replace manual or mechanical data processing, enabling faster handling of high-resolution motion capture data while maintaining or improving measurement accuracy through more sophisticated computational techniques.
3Measurement precision
If comprehensive user data including dimensions, range of motion, and speed are collected, then equipment fitting accuracy is improved, but data privacy and security concerns increase
Solution Approach 1:
The system extracts and separates sensitive personal information from the core motion capture data. By isolating identifiable personal data and handling it differently from anonymized performance metrics, the system can maintain high equipment fitting accuracy through comprehensive data collection while reducing privacy risks through selective extraction and separate handling of sensitive information.
Solution Approach 2:
The system transforms personal identifiable information into anonymized or aggregated parameters for analysis. By changing the form of data from personally identifiable to statistical or aggregated parameters, the system maintains the utility of comprehensive user data for accurate equipment fitting while reducing privacy and security concerns through parameter transformation.
Data Source
AI summary
Enables a fitting system for sporting equipment using an application that executes on a mobile phone for example to prompt and accept motion inputs from a given motion capture sensor to measure a user's size, range of motion, speed and then utilizes that same sensor to capture motion data from a piece of equipment, for example to further optimize the fit of, or suggest purchase of a particular piece of sporting equipment. Utilizes correlation or other data mining of motion data for size, range of motion, speed of other users to maximize the fit of a piece of equipment for the user based on other user's performance with particular equipment. For example, this enables a user of a similar size, range of motion and speed to data mine for the best performance equipment, e.g., longest drive, lowest putt scores, highest winning percentage, etc., associated with other users having similar characteristics.