Mobile Device Motion Analysis for Personalized Sports Instruction
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Solution Overview
Problem
Conventional sports instruction methods are either inaccessible, costly, or require specialized equipment and expertise, limiting their availability and effectiveness for personalized feedback and improvement.
Innovation Solution
A mobile device with integrated motion sensors evaluates simulated sports motions, selecting and displaying customized content, such as video clips and animations, to provide personalized feedback and instruction, allowing users to improve their techniques dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional sports instruction methods (books, videos, in-person instructors, or sophisticated motion capture systems) are used, then sports instruction and feedback are provided, but accessibility, cost, and device complexity increase
Solution Approach 1:
The mobile device serves multiple functions: it acts as both the sports equipment (golf club, tennis racquet, baseball bat) and the motion evaluation system. The device combines sensing capabilities (accelerometer, gyroscope), processing capabilities (motion analysis algorithms), and feedback capabilities (display screen) into a single universal tool, eliminating the need for separate specialized equipment and complex motion capture systems.
Solution Approach 2:
The mobile device creates a virtual copy of the sports equipment that can be digitally analyzed. Instead of using actual sports equipment with attached sensors, the invention uses a digital representation of the equipment within the mobile device itself, allowing motion capture and analysis without external hardware attachments.
2Measurement precision
If sophisticated motion capture laboratories and specialized hardware are used, then accurate motion analysis is achieved, but cost and accessibility increase
Solution Approach 1:
The mobile device performs self-evaluation by using its own built-in sensors to capture and analyze its motion. The device automatically processes the motion data through algorithms that evaluate swing mechanics, provide feedback on form, and suggest corrections without requiring external analysis equipment or specialized facilities.
Solution Approach 2:
The invention replaces complex mechanical motion capture systems with electronic sensing capabilities already present in mobile devices. Instead of using multiple cameras, laser systems, and specialized sensors in motion capture laboratories, the solution uses the mobile device's accelerometer and gyroscope to capture motion data, significantly reducing cost and increasing accessibility.
3Adaptability or versatility
If static video lessons and pre-recorded content are used, then instruction content is provided, but dynamic feedback and personalization are limited
Solution Approach 1:
The system provides immediate feedback by analyzing the user's swing motion in real-time and displaying results on the mobile device screen. The feedback loop is closed and rapid: the user performs a swing, the sensors capture the motion, the algorithms analyze the data, and the results are displayed instantly, allowing for immediate correction and learning without waiting for instructor review or video analysis.
Solution Approach 2:
The instruction system transitions from static pre-recorded videos to dynamic real-time analysis. The mobile device captures actual user motion, processes it dynamically, and provides personalized feedback that adapts to each user's specific technique and errors. The system can adjust evaluation criteria and feedback content based on the analyzed motion data, making the instruction adaptive rather than fixed.
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
This solution provides accessible, cost-effective, and personalized sports instruction, enabling users to identify and correct errors in their motions with immediate feedback, improving their performance without the need for expensive equipment or in-person instructors.
Implementation Method 1
The motion sensors can include a gyroscope and an accelerometer. In an embodiment, the step of evaluating the simulated sports motions includes evaluating pitch, roll, and yaw of the mobile device.
Implementation Method 2
The motion sensors can include a gyroscope and an accelerometer. In an embodiment, the step of evaluating the simulated sports motions includes evaluating pitch, roll, and yaw of the mobile device.
Data Source
AI summary
A family of sports teaching applications that delivers customized lessons driven by the analysis of user body motions where data is captured via the accelerometer and gyroscope in a mobile device, such as a smartphone is provided. Each specific application is designed with motion data models that define proper form for athletes in club sports such as, but not limited to, golf, baseball hitting, hockey, polo, and racquet sports such as, but not limited to, table tennis, squash, badminton and throwing sports like baseball pitching, football, discus, javelin, and shot put, and other sports such as skiing and running. The Invention is also applicable to the customized fitting of sports equipment such as golf clubs, baseball bats, tennis racquets, etc. to athletes unique swing motions and swing speeds, and for multiplayer tournament competitions via the Internet utilizing the swing motion analysis and system described herein.