Wearable Golf Swing Feedback Using Real-Time Motion Flaw Detection
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Solution Overview
Problem
Existing sports training methods, particularly for complex movements like golf swings, struggle to provide real-time feedback on motion deviations, leading to delayed awareness of flaws and inefficient learning.
Innovation Solution
A wearable device with a sensor unit, stimulator, and processor that detects a golf stance position and swing flaws in real-time, providing immediate stimuli to correct deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video equipment or coach observation is used to analyze technique, then measurement precision of motion deviations is improved, but feedback delay time increases
Solution Approach 1:
The patent replaces manual video analysis and coach observation with automated sensor-based detection systems. Motion sensors, gyroscopes, and accelerometers continuously monitor athletic movements and automatically compare them against ideal motion patterns, eliminating the time-consuming manual analysis process while maintaining high detection precision.
Solution Approach 2:
The system implements real-time feedback by continuously monitoring motion data, immediately detecting deviations from ideal patterns, and providing instant corrective information to the athlete. This closed-loop feedback system eliminates the delay inherent in post-session video review by providing immediate performance information.
2Productivity
If real-time feedback is implemented to reduce feedback delay time, then productivity of training is improved, but device complexity increases
Solution Approach 1:
The system divides the complex task of motion analysis into separate functional modules: motion capture sensors, data processing algorithms, comparison databases containing ideal patterns, and feedback delivery mechanisms. This modular segmentation allows each component to be optimized independently while working together to provide real-time feedback.
Solution Approach 2:
The patent introduces intermediate processing layers including microprocessors that raw sensor data and comparison algorithms that bridge the gap between raw motion data and actionable feedback. These intermediaries simplify the overall system architecture by handling complex computations and data interpretation tasks.
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 subconscious learning of correct movement patterns by delivering timely feedback, enhancing training effectiveness and reducing feedback delay.
Implementation Method 1
a sensor unit configured to sense motion sensor data relating to acceleration and rotation of the wearable device in three-dimensional space
Data Source
AI summary
There is provided a wearable device for improving a user's golf swing, the wearable device comprising: a sensor unit configured to sense motion sensor data; a stimulator for providing stimuli to the user of the wearable device: a processor; a central 5 housing for housing the sensor unit, the stimulator, and the processor; wherein the processor is configured to detect that the user is in a golf stance position in dependence on a determined relative direction of gravity being within a pre-defined direction range indicative of a golf stance; wherein, in response to the detection of a golf stance position, the processor is further configured to: determine a motion track of 0 the wearable device and transmit a stimuli signal to the stimulator causing the stimulator to provide stimuli to the user at a time when a golf swing flaw is detected in the determined motion track.