Compensation Analysis System for Objective Movement Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for assessing physical movement to prevent injury and optimize performance are subjective and inconsistent, leading to inaccurate results and ineffective training programs.
Innovation Solution
A system and method for objectively assessing physical performance using a web-based software or perceptual computing system that records movement data, identifying compensations through binary format assessments, and generating tailored exercise programs to correct physical deficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual program development is used post-assessment, then program creation flexibility is maintained, but accuracy in achieving desired results deteriorates
Solution Approach 1:
The patent replaces manual program development (mechanical human process) with an automated computer-based system that uses algorithms to generate training programs. The system objectively analyzes movement data and automatically creates personalized exercise prescriptions, eliminating subjectivity while maintaining flexibility through programmable parameters.
Solution Approach 2:
The system enables self-service by allowing the computer to autonomously analyze assessment data and generate training programs without requiring manual intervention. The automated system processes movement efficiency data, identifies compensations, and creates corrective exercise programs independently, improving consistency and accuracy.
2Measurement precision
If subjective assessment methods are used, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The patent replaces subjective human assessment with objective computer-based measurement systems. Sensors and cameras capture movement data, which is then analyzed by algorithms to precisely identify compensations and movement inefficiencies, eliminating observer bias while maintaining ease of use through automated data collection.
Solution Approach 2:
The system introduces an intermediary layer between the subject and the assessment result. Instead of direct subjective evaluation, movement data passes through an automated analysis system that objectively identifies compensations and generates evidence-based recommendations, improving precision without complicating the user experience.
3Measurement precision
If binary format recording is used, then measurement precision is improved, but information loss increases
Solution Approach 1:
The system changes the parameter of data representation from subjective descriptive scales to objective binary outcomes. By converting continuous movement quality assessments into discrete presence/absence indicators for specific compensations, the system achieves consistent objective identification while the binary format itself becomes the optimized parameter for reliable measurement.
Data Source
AI summary
Systems and methods for objectively assessing physical performance of a subject and generating programs specifically tailored to correct any physical deficiencies identified during that assessment. Generally, the assessments may produce results in binary format so that the assessments may be conducted objectively. Additionally, the recommended exercise programs may be generated based on the results of those assessments so that the recommended exercise programs target the identified physical deficiencies.