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

VSEngineering 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

Engineering Contradiction:
Improvetherapeutic goal achievementVSAvoiduser technique information
Core Design Contradiction:
ReliabilityVSLoss of information

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.

Inventive Principle:
Principle #23Feedback

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.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If users perform physical activities without technique monitoring, then exercise freedom is maintained, but performance improvement and posture correction are limited

Engineering Contradiction:
Improveexercise accessibilityVSAvoidposture accuracy
Core Design Contradiction:
Ease of operationVSManufacturing precision

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.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If comprehensive pose analysis is implemented, then technique guidance is improved, but system complexity increases

Engineering Contradiction:
Improvepose assessment accuracyVSAvoidsystem architecture
Core Design Contradiction:
Measurement precisionVSDevice complexity

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.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260004605A1Computer vision-based assessment of posture of living bodies and approaches to surfacing insights gained therefrom
Publication Date: 2026.01.01 HINGE HEALTH INC
  • US20260004605A1 patent drawing
  • US20260004605A1 patent drawing
  • US20260004605A1 patent drawing

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.