Progressive Strength Baseline With Electromagnetic Resistance
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Solution Overview
Problem
Traditional strength measurement methods, such as one-rep maximum tests, are exhausting and risky for users, often leading to injuries, while isokinetic-based techniques are inaccurate and unnatural, with personalized force-velocity curves being time-consuming and difficult to generate.
Innovation Solution
The progressive strength calibration techniques use a digital strength trainer with electromagnetic resistance to estimate strength without requiring users to perform to failure, adapting weight in real-time based on user performance during a workout routine, using sensors and algorithms to determine a challenging weight without pushing users to their limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional one-rep maximum tests are used to measure strength, then strength measurement accuracy is improved, but user exhaustion and injury risk increase
Solution Approach 1:
The system changes the measurement parameter from one-rep maximum (failure-based) to five-rep maximum (performance-based). By measuring strength at a lower intensity level where users can complete multiple repetitions, the system maintains measurement accuracy while significantly reducing injury risk and exhaustion. The algorithm converts five-rep max data into equivalent one-rep max estimates, preserving measurement validity without requiring failure-based testing.
Solution Approach 2:
The system incorporates real-time feedback through sensors that monitor user performance during the five-rep max test. The algorithm continuously adjusts and refines strength estimates based on observed performance patterns, allowing accurate strength measurement without pushing users to failure. This feedback mechanism enables the system to identify strength levels through progressive resistance adjustment rather than forcing maximum effort.
2Measurement precision
If traditional one-rep maximum tests are used, then strength estimation is accurate, but user exhaustion increases
Solution Approach 1:
The system changes the test parameter from one-rep maximum to five-rep maximum, extending the duration of the test to include multiple repetitions. This allows strength estimation to be derived from sustained performance rather than single-maximum effort, reducing exhaustion while maintaining accuracy through algorithmic conversion of the five-rep data into equivalent one-rep max estimates.
3Extent of automation
If isokinetic-based techniques are used, then measurement process is automated, but accuracy and naturalness decrease
Solution Approach 1:
The system replaces complex isokinetic mechanical control systems with a simpler progressive resistance approach. Instead of using automated isokinetic devices that force constant speed movement, the system uses progressively adjustable resistance that allows users to move naturally through their range of motion while still providing accurate strength measurement through algorithmic analysis of their performance.
Solution Approach 2:
The system changes the control parameter from constant speed (isokinetic) to progressive resistance adjustment. This allows the measurement system to adapt to user capabilities dynamically, maintaining automation while improving accuracy by measuring strength at multiple resistance levels rather than forcing a single fixed-speed protocol.
4Measurement precision
If personalized force-velocity curves are generated, then strength measurement is accurate, but time consumption increases
Solution Approach 1:
The system changes the calibration approach from generating complete personalized force-velocity curves to measuring only the five-rep maximum at a single progressive resistance level. This parameter simplification dramatically reduces calibration time while maintaining sufficient accuracy for strength estimation, as the algorithm can derive meaningful strength metrics from the simplified five-rep performance data without requiring comprehensive force-velocity profiling.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method reduces injury risk, provides accurate strength estimation, and works well with various clothing and warm-up states, offering a user-friendly experience by adjusting weight progressively to identify a suitable resistance level.
Implementation Method 1
The progressive strength calibration techniques use a digital strength trainer with electromagnetic resistance to estimate strength without requiring users to perform to failure
Data Source
AI summary
Controlling weight during a movement includes receiving a set of parameters comprising a nominal weight. It further includes detecting speed during a concentric phase. It further includes progressively adjusting weight during the concentric phase based on the detected speed and the nominal weight.