Gait Movement Path Generation Using Foot Position Segmentation
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Solution Overview
Problem
Existing gait information generation devices cannot accurately derive the gait movement path for each gait cycle of both feet, limiting their ability to provide comprehensive gait analysis for medical diagnosis and health management.
Innovation Solution
A gait information generation device that acquires time-series data of foot positions, detects the start and end points of gait cycles, calculates movement amount components, and generates gait information using these components to output the gait movement path for each foot, employing methods such as motion capture, inertial sensors, and smart apparel to measure foot data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gait data is acquired using existing methods (pressure sensors or acceleration sensors), then gait information can be obtained, but the gait movement path for each gait cycle of both feet cannot be accurately derived
Solution Approach 1:
The patent segments the gait analysis into individual gait cycles for each foot by detecting start and end points of gait cycles from time-series foot position data. This segmentation allows separate analysis of each gait cycle, enabling accurate derivation of gait movement paths for both feet independently, thereby resolving the inability to obtain foot-specific gait cycle information in existing methods
Solution Approach 2:
The patent introduces a new dimensional approach by calculating movement amount components (horizontal and vertical components) from three-dimensional foot position data. This dimensional transformation enables the derivation of gait movement paths that capture the complex spatial trajectory of each foot throughout gait cycles, going beyond the limited one-dimensional tread force or acceleration measurements of existing methods
2Loss of information
If comprehensive gait analysis is performed for each foot and gait cycle, then detailed gait information can be obtained, but the device complexity increases
Solution Approach 1:
The patent performs preliminary actions by first detecting start and end points of gait cycles from the time-series foot position data before calculating movement amount components. This preliminary segmentation simplifies the subsequent analysis by defining clear boundaries for each gait cycle, reducing the overall computational complexity while maintaining comprehensive analysis of each foot's movement pattern
Solution Approach 2:
The patent focuses on calculating specific movement amount components (horizontal and vertical) that are most relevant to gait movement path derivation, rather than processing all possible gait parameters. This selective approach provides detailed gait analysis for each foot while avoiding the excessive computational burden of analyzing every conceivable gait parameter
Data Source
AI summary
Provided is a gait information generation device including an acquisition unit that acquires gait data including time-series data of a foot position of a subject, a detection unit that detects a start point and an end point of a gait cycle from the time-series data of the foot position included in the gait data, a calculation unit that calculates a first movement amount component related to the start point and a second movement amount component related to the end point, a gait information generation unit that generates gait information about a gait movement path of the subject using the calculated first movement amount component and the calculated second movement amount component, and an output unit that outputs the generated gait information.