Risk estimation apparatus, risk estimation system, risk estimation method, and non-transitory computer readable recording medium

US2022000431A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022000431-A1
Application numberUS-202117362498-A
CountryUS
Kind codeA1
Filing dateJun 29, 2021
Priority dateJul 3, 2020
Publication dateJan 6, 2022
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures, and a risk estimation unit that estimates a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase.

First claim

Opening claim text (preview).

What is claimed is: 1 . A risk estimation apparatus comprising: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire measured data of foot pressures of a left foot and a right foot obtained by sensors that are provided in shoes and measure the foot pressures; identify a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures; and estimate a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase. 2 . The risk estimation apparatus according to claim 1 , wherein the processor is configured to acquire the measured data of the foot pressures on a heel side and a toe side of each of the left foot and the right foot; and estimate the risk of the abnormality of the lower limb on the basis of the asymmetry between the foot pressures on the heel side and the toe side of the left foot and the right foot during the stance phase. 3 . The risk estimation apparatus according to claim 1 , wherein the processor is configured to estimate the risk of the abnormality of the lower limb on the basis of the asymmetry between the foot pressures of the left foot and the right foot during the stance phase of each of the left foot and the right foot in which parts of measurement periods temporally overlap each other. 4 . A risk estimation system comprising: sensors that are provided in shoes and measure foot pressures of a left foot and a right foot; at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: identify a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from measured data of the foot pressures; and estimate a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase. 5 . A risk estimation method comprising: acquiring, by a risk estimation apparatus, measured data of foot pressures of a left foot and a right foot obtained by sensors that are provided in shoes and measure the foot pressures; identifying, by the risk estimation apparatus, a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures; and estimating, by the risk estimation apparatus, a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase. 6 . A non-transitory computer-readable recording medium that records a program for causing a computer to execute the risk estimation method according to claim 5 .

Assignees

Inventors

Classifications

  • Footwear · CPC title

  • Gait analysis · CPC title

  • Measuring plantar pressure during gait · CPC title

  • Arrangements of multiple sensors of the same type · CPC title

  • A61B5/7275Primary

    Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2022000431A1 cover?
A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data …
Who is the assignee on this patent?
Nec Corp
What technology area does this patent fall under?
Primary CPC classification A61B5/7275. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Jan 06 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).