Gait analysis device, gait analysis method, and computer program product
By obtaining the slope of the changes in a runner's stride frequency and stride length relative to running speed, and using a principal component analysis model, the problem of objectively determining running style type is solved, and scientific running shoe recommendations are provided.
CN118574661BActive Publication Date: 2026-01-02ASICS CORP
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Patent Information
- Application Number
- CN202280089069.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-30
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2042-09-30
AI Technical Summary
Technical Problem
In existing technologies, there is no clear objective benchmark for determining whether a runner's running style is cadence-based or stride-based, and it mainly relies on subjective judgment.
Method used
By obtaining the slope of the changes in a runner's stride frequency and stride length relative to running speed, a principal component analysis model is used to generate an objective criterion to determine whether a runner belongs to the stride frequency type or the stride length type.
Benefits of technology
It enables simple, accurate, and objective analysis of runners' running style, provides helpful running shoe recommendations, and improves the scientific basis for runners' shoe selection.
✦ Generated by Eureka AI based on patent content.
Abstract
A gait analysis device, a gait analysis method, and a gait analysis program. In the gait analysis device, a step frequency change with respect to a running speed is acquired with respect to running of a subject. A step length change with respect to a running speed is acquired with respect to running of the subject. A determination section (80) calculates a principal component score from the slope of the step frequency change and the slope of the step length change of the subject, based on a principal component analysis model that is generated in advance based on measured values of a plurality of runners, and determines which of a plurality of gait types including a stride type and a step frequency type the running of the subject conforms to, based on the calculated principal component score.
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