Swimming Posture Correction Using Limb G-Sensors
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Solution Overview
Problem
Current swimming posture monitoring systems cannot provide effective feedback for correcting poor posture, limiting improvements in swimming speed and efficiency, as they only measure stroke efficiency without identifying specific posture errors.
Innovation Solution
A system utilizing at least two gravity sensors (G-sensors) on a swimmer's limbs to monitor stroke actions, calculate a coordination index, and compare it to a reference index to prompt for posture corrections, incorporating body parameter capture and flow rate sensing to optimize swimming posture based on the water zone conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only stroke efficiency algorithms are used to monitor swimming posture, then the monitoring system remains simple, but the ability to identify specific posture errors is insufficient
Solution Approach 1:
The monitoring system is segmented into multiple independent G-sensors placed on different body parts (head, torso, limbs), each measuring specific local movements. This segmentation allows precise detection of posture errors in different body regions while keeping each sensor simple and manageable.
Solution Approach 2:
A coordinate transformation module acts as an intermediary that converts raw sensor data from multiple body parts into meaningful posture error information. This intermediary layer processes the complex multi-sensor data to identify specific posture errors without requiring direct complex hardware integration.
2Measurement precision
If multiple G-sensors are added to monitor limb stroke actions, then posture monitoring precision improves, but the device complexity increases
Solution Approach 1:
Each G-sensor is designed as a universal multi-functional unit that can measure multiple parameters (acceleration, orientation, angular velocity) simultaneously. This universality allows a single sensor type to perform multiple measurement functions, reducing the need for different specialized sensors and thereby limiting complexity growth.
Solution Approach 2:
Multiple G-sensors are merged into a coordinated measurement system where data from head, torso, and limb sensors are integrated through coordinate transformation. This merging approach consolidates the functionality of multiple sensors into a unified posture analysis system, managing complexity through systematic data integration.
3Speed
If real-time coordinate transformation and analysis are performed, then posture correction feedback speed improves, but computational requirements and system complexity increase
Solution Approach 1:
Coordinate transformation matrices and reference frames are pre-calculated and stored before actual swimming monitoring begins. This preliminary preparation allows the system to perform rapid real-time posture analysis by simply applying pre-computed transformations to sensor data, rather than calculating complex coordinate systems during swimming.
Solution Approach 2:
The system changes parameters from raw sensor coordinates to standardized reference frame coordinates through transformation matrices. This parameter transformation simplifies the comparison of posture data across different body parts and enables faster processing by converting complex multi-dimensional sensor data into standardized formats for rapid analysis.
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
Enables instant detection and correction of swimming posture issues, improving swimming efficiency by providing precise feedback on stroke timing and alignment, thereby enhancing swimming performance.
Implementation Method 1
at least two gravity sensors (G-sensors), and the G-sensors are respectively disposed at ends of at least two limbs of the swimmer performing a relative stroke action
Data Source
AI summary
A swimming posture correction method and a swimming posture correction system, adapted for a computing apparatus to correct a swimming posture of a swimmer using at least two gravity sensors, are provided. The gravity sensors are respectively disposed at ends of at least two limbs of the swimmer performing a relative stroke action. In the method, body parameters of the swimmer are obtained and a reference index of coordination for implementing a swimming posture suitable for the body parameters is captured. A stroke of the limb is monitored using the gravity sensors to obtain a timing diagram of the limbs performing a stroke promotion action. Then, an index of coordination of the swimmer is calculated by analyzing the timing diagram and compared with the reference index of coordination so as to prompt for correcting the swimming posture according to a comparison result.