Sole Load Measurement System with Dual-Threshold Extraction
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Solution Overview
Problem
Existing walking training systems face challenges in accurately detecting the load distribution-related information of the sole region, particularly when the detection threshold value is set high, leading to undetected regions and noise interference, and when set low, resulting in incorrect information due to noise influence.
Innovation Solution
A load measurement system that includes an acquisition unit, a first extraction unit, a second extraction unit, and an output unit, which acquires measurement information from a load distribution sensor, extracts regions with load values above different threshold values, and outputs load distribution information, allowing for accurate detection of low load regions like the toe while reducing noise influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the detection threshold value is set high, then noise influence is reduced, but low load regions (such as toe) are not detected and measurement accuracy deteriorates
Solution Approach 1:
The patent divides the threshold-based detection into two segments: a first threshold for initial sole region detection and a second threshold for re-detecting low load regions. This segmentation allows the system to first establish a baseline sole region with a higher threshold, then expand it by detecting additional low load areas with a lower threshold, thereby resolving the contradiction between noise resistance and detection accuracy.
Solution Approach 2:
The system performs preliminary detection of the sole region using the first threshold before performing the second detection with the lower threshold. This preliminary action establishes a reference framework that guides the subsequent low load region detection, ensuring that noise is filtered out first while preserving the structure for accurate expansion.
2Measurement precision
If the detection threshold value is set low, then low load regions (such as toe) are detected, but noise influence increases and measurement accuracy deteriorates
Solution Approach 1:
The detection process is segmented into two phases: first detection with a higher threshold to establish the main sole region, and second detection with a lower threshold to capture low load regions. This segmentation enables the system to use the lower threshold only in specific contexts (within the re-extraction target region), thereby reducing noise influence while improving detection accuracy.
Solution Approach 2:
The patent applies different threshold values to different spatial regions: the first threshold is applied to the entire measurement area for initial detection, while the second threshold is applied locally within the re-extraction target region. This local quality approach allows low load regions to be detected with a lower threshold without exposing the entire system to noise contamination.
3Measurement precision
If a single threshold value is used for sole region detection, then the system structure is simple, but accurate detection of both high and low load regions cannot be achieved simultaneously
Solution Approach 1:
The detection system is segmented into two detection units: a first extraction unit that detects the initial sole region, and a second extraction unit that re-detects low load regions. This segmentation of the detection process into distinct functional units allows the system to achieve high measurement precision through multi-threshold detection while maintaining relatively simple system structure through modular design.
Solution Approach 2:
The first extraction unit performs preliminary detection to establish the sole region before the second extraction unit performs re-detection. This preliminary action creates a structured framework that guides the more complex second detection, allowing the system to achieve accurate load distribution measurement without requiring a completely complex system architecture from the ground up.
4Measurement precision
If the re-extraction target region is set broadly, then more low load regions are detected, but processing load increases and real-time detection becomes difficult
Solution Approach 1:
The patent defines the re-extraction target region locally based on the detected sole region, typically extending beyond its boundaries. This local definition focuses the second detection process only on areas where low load regions are likely to exist, thereby improving detection accuracy while keeping the processing load manageable for real-time operation.
Solution Approach 2:
The system performs partial re-detection only within the re-extraction target region rather than the entire measurement area. This partial action is sufficient to capture low load regions like the toe while significantly reducing the processing load compared to a full re-detection, enabling real-time detection performance.
Data Source
AI summary
A load measurement device includes an acquisition unit, a first extraction unit, a second extraction unit, and an output unit. The acquisition unit acquires measurement information output from a load distribution sensor that detects a load distribution received from a sole of a subject. The first extraction unit extracts a region having a load value equal to or larger than a first threshold value as a first region based on the measurement information, and detects the first region as a sole region. The second extraction unit extracts a second region having a load value equal to or larger than a second threshold value that is smaller than the first threshold value from a re-extraction target region defined with the first region as a reference, and adds the second region to the sole region. The output unit outputs information related to a load distribution of the sole region.