Motion Improvement System Using Error-Increasing Feedback
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Solution Overview
Problem
Existing motion control systems for rehabilitation and improvement are time-consuming and limited in capacity, primarily focusing on biomechanical changes and lacking efficient methods to assess and correct motion disorders in humans and animals.
Innovation Solution
A system and method that processes data on measured motion to determine errors relative to predetermined correct motion parameters, generating an operating signal to apply an effecting force that increases the error, thereby improving motion by adjusting force, acceleration, speed, accuracy, stability, and range of movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional rehabilitation therapies are used, then motion improvement can be achieved, but the process is time-consuming and has limited capacity
Solution Approach 1:
The system continuously monitors the object's motion using sensors and compares it with predetermined correct motion parameters. Based on the detected error, the control system automatically adjusts the effecting force in real-time, creating a closed-loop feedback mechanism that accelerates motion improvement without requiring extensive manual therapy time
Solution Approach 2:
The system enables the object to self-correct its motion by applying effecting forces based on automatically detected errors. The object practices motion improvement independently through the automated system, reducing the need for continuous manual intervention and significantly reducing therapy time while maintaining improvement reliability
2Reliability
If manual therapy by physicians is used, then motion improvement can be achieved, but the capacity to handle therapy is significantly limited
Solution Approach 1:
The automated system performs motion monitoring, error detection, and force adjustment without physician intervention. The object receives continuous therapy through the self-service mechanism, allowing the system to handle unlimited cases simultaneously and dramatically increasing therapy capacity while maintaining improvement quality
Solution Approach 2:
The system replaces manual physician assessment and adjustment with automated sensors and control algorithms. This substitution eliminates the human capacity bottleneck, allowing the system to process and correct motion errors in multiple objects concurrently, thereby significantly increasing overall therapy capacity
3Reliability
If existing devices are used, then biomechanical changes can be achieved, but there is a lack of efficient methods to assess and correct motion disorders
Solution Approach 1:
The system integrates multiple functions into a single unified platform: motion monitoring via sensors, error detection through comparison with correct parameters, automatic force adjustment via control system, and real-time correction application. This multi-functional integration achieves comprehensive assessment and correction capabilities without proportionally increasing device complexity
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where sensors continuously monitor motion, the control system automatically detects errors by comparing with predetermined correct parameters, and effecting forces are adjusted in real-time to correct deviations. This integrated feedback loop provides efficient assessment and correction capabilities while maintaining manageable system complexity
Data Source
AI summary
A method and system are presented for improving the object's motion. Data indicative of a measured motion of the object is processed, and a relation between the measured motion and a predetermined correct motion is determined. This relation is indicative of an error in the measured motion. Based on the determined error, an operating signal may be generated to be used to apply an effecting force to the object. The operating signal is such that the effecting force, when applied to the object, will increase a value of the error in the object's motion.