Swing Analysis System Real-Time Feedback
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Solution Overview
Problem
Current training methods for athletes engaging in swinging motions, such as baseball or golf, rely on post-activity feedback, which is less effective than real-time quantitative feedback for improving performance.
Innovation Solution
A swing analysis system comprising a force measurement assembly with force transducers and a data processing device that determines and reports swing performance metrics, including peak forces, efficiency ratios, and phase detection, providing real-time quantitative feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If post-activity feedback is used to correct mistakes, then the training process is simple to implement, but the feedback effectiveness is reduced because mistakes are identified after the activity rather than during it
Solution Approach 1:
The system performs preliminary action by detecting swing phases and providing feedback during the activity rather than after. The force measurement assembly continuously monitors forces during the swing, enabling real-time detection of swing phases (address phase, downswing, impact, follow-through) and providing immediate feedback about form errors while the athlete is still performing the motion.
Solution Approach 2:
The system implements continuous feedback by processing force data in real-time and providing quantitative feedback during the activity. The data processing device analyzes force vectors, magnitudes, and rates of change to identify swing phase transitions and form errors, then provides immediate feedback to the athlete about their performance metrics such as swing speed, force application timing, and structural integrity during each phase.
2Productivity
If real-time quantitative feedback is provided during the activity, then feedback effectiveness is improved, but the device complexity increases due to the need for force measurement assemblies and data processing systems
Solution Approach 1:
The force measurement assembly serves multiple functions: it measures forces in three dimensions, detects swing phase transitions, calculates performance metrics (swing speed, force magnitude, power), and provides real-time feedback. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated device, reducing overall system complexity while maintaining comprehensive real-time analysis capabilities.
Solution Approach 2:
The system performs self-service by automatically detecting swing phases and calculating performance metrics from the force data without requiring external intervention. The data processing device autonomously identifies transition points between swing phases by analyzing changes in force vectors and magnitudes, then generates feedback reports independently, reducing the need for complex external analysis systems.
3Measurement precision
If swing phases are manually identified by a coach, then the system is simpler to operate, but the measurement precision and objectivity of swing analysis is reduced
Solution Approach 1:
The system replaces the manual mechanical assessment process with an automated electronic measurement system. Force transducers continuously measure forces during the swing, and the data processing device automatically detects swing phase transitions by analyzing force vector changes and magnitude variations. This substitution eliminates subjective human judgment and provides objective, precise detection of swing phases such as the address phase, downswing, impact, and follow-through.
Solution Approach 2:
The force measurement assembly acts as an intermediary between the athlete's swing and the analysis system. It captures the mechanical forces generated during the swing and translates them into electrical signals that the data processing device can analyze. This intermediary enables automatic, objective detection of swing phases and performance metrics without requiring direct manual observation or intervention.
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 athletes to receive immediate, data-driven insights into their performance, enhancing training efficiency and effectiveness by identifying areas for improvement during the activity.
Implementation Method 1
at least one force transducer, the at least one force transducer configured to sense one or more measured quantities and output one or more signals that are representative of forces and/or moments being applied to the top surface of the force measurement assembly by the user
Data Source
AI summary
A swing analysis system is disclosed herein. The swing analysis system includes a force measurement assembly configured to receive a user; and a data processing device operatively coupled to the force measurement assembly, the data processing device is configured to receive one or more signals that are representative of forces and/or moments being applied to a top surface of the force measurement assembly by the user, and to convert the one or more signals into output forces and/or moments, the data processing device is further configured to determine one or more swing performance metrics for the user using the output forces and/or moments from the force measurement assembly.