Sporting Equipment Posture Correction via Pressure Sensor Analysis
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Solution Overview
Problem
Athletes often suffer sports injuries due to incorrect postures, and existing technologies for posture correction lack objective data and are not suitable for all sports, especially those involving various equipment, and are often unaffordable.
Innovation Solution
A method and system using pressure sensors mounted on sporting equipment to detect force and pressure data, which is analyzed to provide correction data by comparing with a force pattern model, allowing for objective posture correction and prevention of injuries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure sensors are mounted on sporting equipment to detect force data, then measurement precision of posture is improved, but device complexity increases
Solution Approach 1:
The patent uses pressure sensors as intermediary devices mounted on sporting equipment to indirectly measure athlete posture. Instead of directly measuring body posture, the system measures force distribution through the equipment, which serves as a mediator between the athlete's body and the measurement system.
Solution Approach 2:
The patent replaces complex mechanical posture measurement systems with electronic pressure sensing technology. By substituting mechanical measurement devices with electronic sensors and computer-based analysis, the system achieves higher precision while managing complexity through digital processing.
2Measurement precision
If various sensors are installed on the athlete's body to detect posture, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
Instead of placing sensors on the athlete's body, the patent inverts the approach by mounting pressure sensors on the sporting equipment. This reversal eliminates the need for athletes to wear multiple sensors, significantly improving ease of operation while maintaining measurement precision through force distribution analysis.
3Measurement precision
If human body sensing technologies are used to detect posture, then measurement precision is improved, but loss of substance increases
Solution Approach 1:
The patent extracts the sensing function from the athlete's body and relocates it to the sporting equipment. By taking out the sensors from the expensive human body sensing technology category and placing them on inexpensive equipment, the system achieves similar measurement precision at a fraction of the cost.
4Device complexity
If inertial sensors are disposed in sports equipment to check movement, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent uses pressure sensors to detect force distribution at the moment of contact between the athlete and equipment. This preliminary detection of force patterns allows the system to infer posture information before movement occurs, achieving high precision without requiring complex inertial sensor systems.
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 effectively assists athletes in correcting their posture, enhancing sports performance and preventing injuries by providing accurate, objective feedback on posture adjustments.
Implementation Method 1
one or more pressure sensors mounted on a surface of the sporting equipment are activated to detect the force or pressure values over the surface of the sporting equipment
Data Source
AI summary
The disclosure is related to a method and a system for posture correction adapted to one sporting equipment. In the method, a force distribution history responsive to force or pressure data detected by one or more pressure sensors mounted on a surface of the sporting equipment over a period of time is firstly obtained. The pressure value is recorded in the force distribution history once it is detected that a pressure value exceeds a threshold, and the force distribution history is compared with a selected force pattern model so as to obtain a deviation distribution model. The deviation distribution model renders a correction data for the posture correction.