Dynamic Motion Force Sensor Module for Adaptive Exercise Resistance
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Solution Overview
Problem
Existing exercise equipment fails to provide dynamic and adaptive resistance that adjusts in real-time to the user's applied force, leading to inefficiencies and increased risk of injury, as it is often limited by static weights or counterweights rather than user-generated force.
Innovation Solution
The Dynamic Motion Resistance Module (DMRM) utilizes variable torque forces converted to linear forces, controlled by a microprocessor and sensors, allowing for real-time adjustments based on user input and sensor data, creating a modular system that adapts resistance to the user's ability, reducing the risk of overworking muscles and improving exercise efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static weights or counterweights are used for resistance, then the resistance mechanism is simple and reliable, but the resistance cannot adapt to user's applied force in real-time, leading to inefficiency and injury risk
Solution Approach 1:
The patent applies dynamics by transitioning from static resistance (fixed weights) to dynamic resistance that changes in real-time based on user input force. The resistance force is continuously adjusted through a control system that processes sensor data and modulates the resistance mechanism, enabling the system to adapt to varying user capabilities during exercise.
Solution Approach 2:
The patent implements feedback by using sensors to detect user applied force and feeding this information back to a control system. The control system processes this data and adjusts the resistance accordingly, creating a closed-loop system where resistance is continuously optimized based on real-time user performance and physiological state.
2Reliability
If counterweights are used for resistance, then the resistance mechanism is simple, but the user is more prone to overworking muscles and injury
Solution Approach 1:
The system uses sensors to continuously monitor user applied force and physiological parameters, providing real-time feedback to the control system. This feedback loop enables the resistance to be dynamically adjusted to prevent overworking muscles, with the control system modulating resistance based on detected user strain or fatigue indicators.
Solution Approach 2:
The system performs self-adjustment of resistance levels based on sensor data without requiring manual intervention. The control system automatically modulates resistance in response to user performance, enabling the equipment to serve itself in optimizing safety and effectiveness throughout the exercise session.
3Adaptability or versatility
If resistance bands are used, then various forces in varying ranges of motion can be provided, but the resistance is static throughout physical activity
Solution Approach 1:
The patent transforms the static resistance characteristic of resistance bands into dynamic resistance by introducing a control system that continuously adjusts force output. The system maintains the benefit of varying forces across different ranges of motion while adding real-time adaptability through electronic control based on sensor feedback.
Solution Approach 2:
The patent replaces purely mechanical resistance mechanisms with an electromechanical system that uses sensors, processors, and actuators to control resistance. This substitution enables dynamic adjustment capabilities while retaining the mechanical interface benefits of resistance bands for varying ranges of motion.
4Extent of automation
If prior art systems provide manual adjustments based on sensor data, then user information is available, but automatic real-time adjustments of experienced forces are not provided
Solution Approach 1:
The system implements automatic feedback control where sensor data about user performance and physiological state is continuously processed and used to modulate resistance in real-time. This closed-loop automation eliminates the need for manual adjustments while providing continuous optimization of exercise parameters based on detected user conditions.
Solution Approach 2:
The system performs self-adjustment of resistance levels automatically based on sensor input without requiring user intervention. The control system independently processes sensor data and modifies resistance forces in real-time, enabling the equipment to autonomously optimize exercise parameters throughout the session.
Data Source
AI summary
A torque measurement system and method for providing real time tracking and motor control for adjusting standard and dynamic torque-to-linear forces in an electromechanical motor. The system includes sensors for measuring data, load wedges affixed to a rotor, a slip bearing for measuring forward and reverse forces of the rotor section, a tracking measurement unit adapted to measure raw data, a wireless radio, an internal processor, and a tracking processing unit.