Wearable Sensor System for Core Muscle Contraction Feedback
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Solution Overview
Problem
Current systems lack effective methods for monitoring and providing feedback on core muscle contraction, particularly in relation to body movements, making it difficult for individuals to develop proper core muscle usage and timing, which is essential for pain management, fitness, and athletic performance.
Innovation Solution
A wearable device equipped with sensors and signal processors that detect core muscle contractions and provide feedback to users through an external device, such as a smartphone, to help develop procedural memory for correct core muscle usage during various movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current systems are used for core muscle training, then users can perform exercises, but users cannot effectively monitor or receive feedback on core muscle contraction timing and usage
Solution Approach 1:
The patent replaces manual monitoring methods with electronic sensors and signal processing systems. Sensors detect core muscle contractions and body movements, converting physiological signals into measurable data that can be analyzed and fed back to users, thereby solving the inability to monitor core muscle usage effectively.
Solution Approach 2:
The system provides real-time feedback to users about their core muscle contraction timing and effectiveness. This feedback loop allows users to adjust their movements and understand whether they are properly engaging their core muscles, directly addressing the lack of monitoring and feedback in current training systems.
2Measurement precision
If manual monitoring of core muscles is performed, then some feedback can be obtained, but it is difficult to detect and measure core muscle contraction accurately
Solution Approach 1:
The patent replaces difficult manual detection with electronic sensing systems. Multiple sensors are strategically placed to detect core muscle contractions and body movements, converting complex physiological phenomena into measurable electrical signals that can be processed accurately by computers or mobile devices.
Solution Approach 2:
The system introduces sensors and signal processing algorithms as intermediaries between the core muscles and the user/trainer. These intermediaries translate invisible muscle contractions into detectable signals and meaningful feedback, making the measurement process accurate and straightforward.
3Ease of operation
If real-time feedback system is implemented, then users can improve core muscle usage, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that can detect both core muscle contractions and body movements simultaneously. The same sensor array serves multiple purposes: monitoring exercise form, measuring core engagement, and tracking overall movement patterns, thereby reducing the need for separate specialized devices.
Solution Approach 2:
The system automatically processes sensor data and generates feedback without requiring complex manual intervention. The computer or mobile device autonomously analyzes the signals, determines whether core muscles are being used correctly, and provides immediate feedback to the user, simplifying the operation despite the sophisticated underlying technology.
Data Source
AI summary
Embodiments disclosed include a system and method for development of core muscles' support, comprising a means for identifying a user qualifying movement, a means for detecting a core muscle contraction in the identified qualifying movement, a means for discriminating between a core muscle contraction and no core muscle contraction in the identified qualifying movement; and a means to provide feedback to the user.