3D Depth Sensor Foot Position Measurement
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Solution Overview
Problem
Existing methods for measuring walking states using skeleton data from three-dimensional sensors lack accuracy, particularly in determining the position of the foot portion below the ankle, which affects the precision of walking ability assessments.
Innovation Solution
A measurement device and method that utilize depth information from three-dimensional sensors to acquire and process depth images, allowing for the detection and measurement of walking states by identifying specific positions on the foot portion, such as the toe and heel, using a scanning line approach, thereby improving accuracy and processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If skeleton data from three-dimensional sensors is used to measure walking states, then the measurement process is simple and does not require markers or sensors on the human body, but the measurement accuracy is insufficient because the foot portion has size from heel to toe and skeleton data does not indicate a fixed location
Solution Approach 1:
The patent segments the foot portion into multiple depth positions (heel depth, middle depth, toe depth) and identifies specific fixed locations within the foot portion rather than treating it as a single point. This segmentation allows precise identification of fixed locations on the foot portion while maintaining the markerless measurement advantage.
Solution Approach 2:
The patent transitions from two-dimensional skeleton data to three-dimensional depth information by introducing depth positions for each pixel position. This dimensional enhancement enables accurate identification of fixed locations on the foot portion by utilizing depth values at multiple positions, resolving the accuracy issue while preserving measurement simplicity.
2Measurement precision
If depth information is used to identify fixed positions on the foot portion, then measurement accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent divides the foot portion analysis into discrete depth positions (heel, middle, toe) corresponding to specific pixel positions in the depth image. This segmentation approach processes only relevant depth information rather than entire depth maps, reducing computational complexity while maintaining high accuracy in fixed position identification.
Solution Approach 2:
The patent extracts and processes only the necessary depth information at specific pixel positions corresponding to the foot portion, rather than processing complete depth maps or skeleton data. This partial action approach achieves high measurement accuracy with reduced data processing requirements.
Data Source
AI summary
Provided is a measurement device including a first acquisition unit that acquires depth information indicating a depth for each two-dimensional position, and a measurement unit that measures a walking state of a test subject by using the depth information.