Sensing Device with Magnetic Attachment for Balance Assessment
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Solution Overview
Problem
Sensing devices used to assess and enhance balance capabilities face challenges in providing accurate data due to noise interference and complexity, leading to degraded reliability and portability issues.
Innovation Solution
A sensing device with a detachable sensing pad and magnetic attachment system, featuring a base with a mounting part and a controller that processes data from pressure sensors to filter noise and provide accurate balance training programs, while being easily portable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensing device is implemented in a complicated manner to provide comprehensive balance assessment, then the measurement precision is improved, but the device complexity increases making it impossible to carry
Solution Approach 1:
The sensing device is divided into separate functional modules: a base unit containing processing components and a detachable sensing pad containing only the pressure sensors. This segmentation allows the sensing pad to be lightweight and portable while the base provides comprehensive processing capabilities, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The pressure sensing functionality is extracted into a separate, detachable sensing pad that can be removed from the base. This extraction allows users to carry only the essential sensing component for portability while maintaining the ability to perform comprehensive balance assessments when the full system is deployed.
2Measurement precision
If the sensing device collects comprehensive sensing data about various physical features, then the measurement precision is improved, but noise interference increases degrading data reliability
Solution Approach 1:
The controller receives raw sensing data from the pressure sensors and processes it through algorithms that filter noise and identify valid balance assessment data. This feedback loop allows the system to distinguish between meaningful balance data and noise, improving data reliability while maintaining comprehensive measurement capabilities.
Solution Approach 2:
The controller acts as an intermediary between the pressure sensors and the final balance assessment output. It processes and filters the raw sensing data, removing noise and invalid measurements before presenting reliable balance assessment results to the user.
3Ease of operation
If the sensing pad is detachably mounted on the base, then the ease of operation and portability are improved, but the manufacturing precision requirements increase
Solution Approach 1:
The mounting interface combines multiple functions into a single integrated structure: mechanical attachment (grooves and protrusions), magnetic holding, and alignment guidance. This merging of functions achieves secure attachment and easy detachment without requiring extremely high manufacturing precision for individual components.
Solution Approach 2:
A magnetic field serves as an intermediary force that assists the mechanical mounting interface. The magnetic attraction provides additional holding force and alignment guidance, reducing the precision requirements of the mechanical grooves and protrusions while ensuring reliable attachment and detachment.
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 solution enhances data accuracy and reliability, improves user experience by providing real-time balance feedback, and ensures ease of use and portability for various training scenarios.
Implementation Method 1
The sensing pad may include a first magnetic body. The base may include a second magnetic body forming gravitation with the first magnetic body and may fix the mounted sensing pad.
Data Source
AI summary
The present disclosure relates to a sensing device and a method for processing sensing data.


