Computer Vision Posture Feedback for Technique Correction
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Solution Overview
Problem
Existing exercise therapy and physical activity systems fail to monitor and guide users on proper technique, leading to ineffective improvements in musculoskeletal function and performance in activities such as dance, sports, and cooking.
Innovation Solution
A computer-implemented therapy platform that analyzes user posture through computer vision, providing personalized feedback and guidance to improve posture and technique across various activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exercise therapy programs provide structured physical activity plans, then therapeutic goals can be achieved, but users cannot be monitored or guided on proper technique
Solution Approach 1:
The system captures images of users performing physical activities, analyzes their poses using computer vision, and provides real-time feedback on technique. This closed-loop feedback mechanism allows users to understand and correct their form, ensuring proper technique while achieving therapeutic goals.
Solution Approach 2:
The patent replaces manual monitoring by therapists with an automated computer vision system. Image processing algorithms and pose estimation models substitute for human observation, enabling continuous, objective technique assessment without requiring physical presence of healthcare professionals.
2Ease of operation
If users perform physical activities without technique monitoring, then exercise freedom is maintained, but performance improvement and posture correction are limited
Solution Approach 1:
The system enables users to self-monitor and self-correct their technique through automated pose analysis and feedback. Users independently access the system, perform activities, receive analysis of their form, and make adjustments without requiring external supervision, maintaining ease of operation while improving posture accuracy.
3Measurement precision
If comprehensive pose analysis is implemented, then technique guidance is improved, but system complexity increases
Solution Approach 1:
The system uses a single image capture device that serves multiple functions: capturing user poses, analyzing body positioning, tracking movement patterns, and providing feedback. This multi-functional approach achieves comprehensive pose analysis without requiring separate specialized equipment for each function, thereby limiting complexity increase.
Data Source
AI summary
Introduced here are computer-implemented platforms (also referred to as “therapy platforms”) that are designed to provide feedback for posture improvement. As part of a posture program, a user may be requested to engage with a therapy platform, which can capture image data of a user in an environment over a time period (e.g., a posture session) to analyze for posture feedback. Simultaneously to capturing the image data, the therapy platform can extract an estimated pose of a user based on the image data and determine a posture indicator based on the estimated pose. The therapy platform uses the posture indicator to render feedback and other content (e.g., visual instructions) for the user for improving her posture.


