Sensor-Based Swing Analysis for Real-Time Equipment Matching
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Solution Overview
Problem
Existing motion capture systems lack the ability to seamlessly integrate with sporting equipment, provide real-time feedback, and data mining for large numbers of individuals to optimize equipment selection, and fail to accurately match dynamic motion information to idealized motion information for personalized performance enhancement.
Innovation Solution
A sensor-enabled system comprising inertial and gyrometric sensors, a core micro-controller, and a Bluetooth radio measures and analyzes swing motion, wirelessly transmitting data to a computing device or server for matching to optimized equipment and providing real-time feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensors are attached to sporting equipment for motion capture, then motion data can be collected and analyzed, but the system lacks seamless integration and real-time feedback capability
Solution Approach 1:
The patent combines multiple sensors (accelerometers, gyroscopes, magnetometers) and processing units into a single integrated motion capture device that attaches to sporting equipment. This merging eliminates the need for separate sensor components and complex setup procedures, achieving seamless integration while maintaining high measurement precision through multi-sensor fusion.
Solution Approach 2:
The system incorporates real-time feedback by continuously processing motion data from sensors and providing immediate analysis results to users through displays or audio outputs. This feedback loop enables athletes to adjust their technique in real-time, bridging the gap between data collection and actionable insights.
2Measurement precision
If traditional motion capture systems use multiple sensors and laboratory analysis, then comprehensive motion data is obtained, but the system complexity increases and portability decreases
Solution Approach 1:
The patent divides the motion capture system into a portable sensor unit that attaches to equipment and a separate analysis component that can process data locally or in the cloud. This segmentation allows comprehensive motion analysis capabilities while keeping the physical sensor package simple and portable, reducing overall system complexity.
Solution Approach 2:
The system incorporates onboard processing capabilities that automatically analyze motion data without requiring constant laboratory intervention. The device performs self-calibration, automatic gesture recognition, and real-time feedback generation, eliminating the need for complex manual configuration and professional laboratory setup.
3Adaptability or versatility
If motion data is collected for individual users only, then personalized analysis is achieved, but data mining for patterns across multiple individuals cannot be performed
Solution Approach 1:
The system is designed with dual functionality: it provides personalized motion analysis for individual users while simultaneously collecting anonymized data for aggregate pattern analysis. The platform can operate in both individual coaching mode and population studies mode, making it versatile for different application scenarios without compromising either personalized or collective data value.
4Use of energy by moving object
If inertial sensors are used for motion capture, then portability is improved, but accuracy over long timeframes deteriorates
Solution Approach 1:
The system maintains continuous motion tracking by using sensor fusion algorithms that combine data from accelerometers, gyroscopes, and magnetometers. This continuous multi-sensor operation compensates for drift in individual sensors over time, maintaining accuracy throughout extended usage periods while keeping power consumption manageable through efficient processing.
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
Enables accurate matching of individual swing motion to optimal sporting equipment, offering real-time feedback and data mining for personalized performance optimization.
Implementation Method 1
one or more low-inertial acceleration and/or gyrometric sensors
Implementation Method 2
one or more low-inertial acceleration and/or gyrometric sensors
Data Source
AI summary
A system and method for analyzing the swing motion of sporting equipment, for example, a golf club, including at least one or more inertial acceleration sensors, one or more gyrometric sensors, a data acquiring unit, a core micro-controller, and a Bluetooth radio. The motion detecting unit detects at least one motion of the swing. Particularly, the sensors and data acquiring unit calculates swing information using the acquired detection data to match a user's swing motion to optimized equipment. Particularly, the data acquiring unit acquires detection data from the sensor(s) and forwards such data to a computing device or server having stored information that matches the swing motion to an optimized swing device.