Exercise Sensing System with Muscle Strength Feedback
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Solution Overview
Problem
Individuals exercising without professional guidance often struggle to adjust exercise intensity based on past records and current physical state, leading to suboptimal results or risk of injury due to inadequate selection of training machines and cycles.
Innovation Solution
An exercise sensing system comprising biophysical quantity sensors, a storage device, and a computing device that monitors current muscle strength, accesses exercise history to set reference values, and adjusts exercise intensity dynamically to match the user's current state, incorporating heart rate monitoring for safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If exercise intensity is increased to improve exercise results, then exercise effectiveness is improved, but risk of injury and muscle overwork increases
Solution Approach 1:
The system continuously monitors muscle strength in real-time during exercise and provides feedback to dynamically adjust exercise intensity. The computing device receives muscle strength data from biophysical quantity sensors, compares current muscle strength with reference values from exercise history, and automatically adjusts exercise parameters to maintain optimal intensity within safe limits, preventing both under-training and over-training.
Solution Approach 2:
The exercise intensity is made dynamic rather than static. The system continuously adapts exercise intensity based on real-time muscle strength monitoring and historical data comparison. Exercise parameters such as resistance, speed, or duration are automatically adjusted during the exercise session to match the user's current physical state, enabling both safety and effectiveness.
2Reliability
If exercise intensity is decreased to prevent injury, then safety is improved, but exercise effectiveness deteriorates
Solution Approach 1:
The system uses real-time muscle strength feedback to determine the appropriate exercise intensity that ensures safety while maintaining effectiveness. By continuously monitoring muscle strength and comparing it with historical reference values, the system identifies the optimal intensity range that is both safe and effective, avoiding unnecessary intensity reduction.
Solution Approach 2:
The system changes exercise parameters (such as resistance, speed, or duration) based on real-time muscle strength measurements and historical data. Instead of using a fixed low intensity, the system dynamically adjusts parameters to achieve the highest safe and effective intensity for each user at each moment during exercise.
3Productivity
If professional coaching is provided to optimize exercise planning, then exercise effectiveness is improved, but system complexity increases
Solution Approach 1:
The system enables users to receive professional-grade exercise planning and adjustment without actual human coaches. The computing device automatically analyzes muscle strength data, compares it with historical exercise history, and generates optimized exercise plans. This self-service approach provides expert-level guidance through automation, eliminating the need for complex human coaching infrastructure while maintaining high exercise effectiveness.
Solution Approach 2:
The patent replaces the mechanical system of human coaching with an automated computing system. The computing device performs functions that would traditionally require professional coaches (monitoring, analysis, plan adjustment) through algorithmic processing of sensor data and historical information, simplifying the system while maintaining or improving effectiveness.
4Productivity
If real-time muscle strength monitoring is implemented to adjust exercise intensity, then exercise effectiveness is improved, but device complexity increases
Solution Approach 1:
The biophysical quantity sensors and computing device are designed to perform multiple functions: monitoring muscle strength, storing exercise history, comparing data, and adjusting exercise intensity. This multi-functionality reduces the need for separate dedicated components for each function, thereby limiting the increase in overall system complexity while achieving real-time monitoring and adjustment capabilities.
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
The system enhances exercise effectiveness by ensuring appropriate intensity and preventing injuries by dynamically adjusting exercise based on real-time physiological data, allowing for seamless transitions between different training machines and cycles.
Implementation Method 1
at least one biophysical quantity sensor disposed on at least one muscle portion of a user to sense a force exerted by the muscle portion
Data Source
AI summary
An exercise sensing method, an exercise sensing apparatus and an exercise sensing system are provided. The exercise sensing system includes a computing device, a storage device and at least one biophysical quantity sensor disposed on at least one muscle portion of a user. In the method, a current muscle strength of the muscle portion when the user performs an exercise is monitored by the biophysical quantity sensor. An exercise history of the user is accessed to obtain a muscle strength reference value of the muscle portion when the user previously performed the exercise. The current muscle strength is compared with the muscle strength reference value so as to adjust an exercise intensity of the exercise.