Usage Condition Proposal System for Joint Angle Adjustment
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Solution Overview
Problem
It is challenging to predict and adjust the variation range of joint angles for users on foot pedaling exercise machines, leading to difficulties in starting exercises due to pain and inefficiency in adjusting usage conditions.
Innovation Solution
A usage condition proposal system that includes a processor and reference database to input user physical information and desired joint angle variation ranges, extracting causal relationship information to output suitable usage conditions for the machine, allowing for precise adjustment of joint angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If usage conditions of the foot pedaling exercise machine are adjusted randomly through trial and error, then the user may eventually find suitable conditions, but the time required to start exercise increases significantly
Solution Approach 1:
The system pre-calculates and stores optimal usage conditions in a database based on user's physical information and desired joint angle variation ranges. When the user inputs their physical data, the system quickly retrieves pre-computed recommendations without requiring real-time trial and error adjustments, thus saving time while maintaining ease of operation
Solution Approach 2:
The system introduces a computational intermediary (the usage condition proposal device with database) that mediates between the user's physical information and the machine's usage conditions. This intermediary performs the complex calculations and adjustments automatically, eliminating the need for users to manually trial and error different settings
2Ease of operation
If usage conditions are adjusted without proper prediction, then adjustment process is simple, but joint pain occurs due to improper variation range settings
Solution Approach 1:
The system pre-calculates safe and effective usage conditions by determining the appropriate joint angle variation ranges based on the user's physical information before the exercise begins. This preliminary calculation ensures that the recommended settings will not cause joint pain, eliminating the harmful effect while keeping the adjustment process simple for the user
Solution Approach 2:
The system incorporates feedback mechanisms where the user's physical information and desired joint angle variation ranges are used to adjust and optimize usage conditions. This feedback loop ensures that the recommended settings are tailored to the individual user's capabilities, preventing joint pain while maintaining ease of operation
3Measurement precision
If multiple usage conditions are adjusted simultaneously to achieve desired joint angle variation ranges, then precise joint angle control is achieved, but the complexity of the adjustment process increases
Solution Approach 1:
The system introduces a computational intermediary that automatically performs the complex calculations and coordinate transformations between different usage conditions and joint angle variation ranges. This intermediary handles the mathematical relationships and adjustments, achieving precise joint angle control while keeping the user-side adjustment process simple and straightforward
Solution Approach 2:
The system replaces manual mechanical adjustment processes with computational methods. Instead of requiring users to physically adjust multiple mechanical components simultaneously, the system uses computer-based calculations and database lookups to determine optimal settings, achieving the same precision with much lower operational complexity
Data Source
AI summary
A usage condition proposal system includes a storage medium that stores a reference DB having a plurality of pieces of causal relationship information that includes training information and variation range information, the training information including physical information for a user and usage condition information for a training machine, variation range information indicating a variation range of a joint angle of at least one joint of the user when the user trains using the training machine based on the usage condition information. A processor is configured to extract, with reference to the reference DB, based on the physical information and the specified variation range information, the causal relationship information of which the variation range information indicates the variation range satisfying a predetermined relationship with the specified variation range.