3D Pose Detection With Real-Time Feedback for Exercise Form
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Solution Overview
Problem
Conventional pose detection technologies face limitations in accurately capturing three-dimensional pose information, leading to misjudgment and inefficiencies in sports training due to reliance on two-dimensional image analysis and lack of real-time feedback.
Innovation Solution
A method and system for pose detection and real-time feedback using a pose estimation model to estimate three-dimensional key point coordinates, aligning user pose with standard poses, and providing dynamic feedback through a similarity algorithm to correct user movements in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional image analysis is used for pose detection, then the system complexity is low and ease of operation is maintained, but measurement precision and reliability of pose detection deteriorate due to inability to accurately capture three-dimensional pose information
Solution Approach 1:
The patent transitions from two-dimensional image analysis to three-dimensional pose detection by introducing depth information through multiple cameras or depth sensors. The system captures images from multiple angles and reconstructs three-dimensional joint coordinates, enabling accurate measurement of pose information in three-dimensional space while maintaining reasonable system complexity through algorithmic processing.
Solution Approach 2:
The patent introduces an intermediary processing layer that includes calibration modules, coordinate transformation algorithms, and three-dimensional reconstruction algorithms. These intermediaries bridge the gap between simple two-dimensional camera inputs and accurate three-dimensional pose outputs, improving measurement precision without requiring direct complex hardware configurations.
2Productivity
If manual counting or simple image processing is used for repeated counting in sports training, then the device complexity is low, but productivity and reliability deteriorate due to inefficiency and errors
Solution Approach 1:
The patent implements an automatic counting system that uses pose detection algorithms to autonomously identify and count exercise repetitions. The system automatically detects key points, determines exercise completion based on pose criteria, and increments counters without human intervention. This self-service approach significantly improves productivity by eliminating manual counting while maintaining manageable device complexity through software-based automation.
3Reliability
If static or post-analysis feedback is provided in existing pose detection technologies, then the system complexity is low, but the ability to correct incorrect pose in real time deteriorates, limiting effectiveness in preventing injuries
Solution Approach 1:
The patent implements a real-time feedback system that continuously monitors pose during exercise execution and provides immediate corrections. The system compares detected pose with standard exercise patterns, identifies deviations, and provides visual or auditory feedback to guide proper form. This closed-loop feedback mechanism significantly improves reliability for injury prevention by enabling real-time correction of incorrect poses, while the complexity is managed through efficient real-time processing algorithms.
Data Source
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AI summary
A method and a system for pose detection and real-time feedback are provided. The method includes: performing an exercise movement by a user, capturing a current video frame image by an application in real time, and sending the current video frame image to a back end; estimating user pose coordinates by using a pose estimation model according to the video frame image; calculating a similarity score of a current movement pose by using a pose similarity algorithm according to standard pose coordinates and the user pose coordinates; performing feedback according to the similarity score, and displaying correct and incorrect parts of the current movement pose; and continuing to capture a next frame of image by the application until the user finishes the exercise movement, and recording and displaying a pose count.