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Method and system for walking ability prediction using stepping characteristics information

机译:利用步行特征信息进行步行能力预测的方法和系统

摘要

A walking capability prediction system is provided. The walking ability prediction system includes a walking gait characteristic acquiring unit that provides a virtual walking environment to a subject and acquires the walking gait characteristic information of the subject according to the virtual walking environment; A motion detector for sensing the subject''s body motion and extracting the subject''s gait pattern information from the subject''s body motion information; A database unit for storing the walking pattern information of the subject according to the walking characteristics of the subject; A standard walking pattern information generation unit that analyzes a relationship between the subject''s gait pattern information and the machine''s gait pattern characteristics to generate standard gait pattern information corresponding to the in-depth gait characteristics of the subject by machine learning; And a walking ability prediction unit for predicting the walking ability of the new subject by substituting the walking gait characteristic information acquired from the new subject into the standard walking pattern information.
机译:提供一种步行能力预测系统。步行能力预测系统包括:步行步态特征获取单元,其向对象提供虚拟步行环境,并根据该虚拟步行环境获取对象的步行步态特征信息。一种运动检测器,用于感测对象的身体运动并从对象的身体运动信息中提取对象的步态模式信息;数据库单元,用于根据被摄体的行走特性来存储被摄体的行走模式信息;标准步行模式信息生成单元,其分析对象的步态信息与机器的步态特征之间的关系,以通过机器学习生成与对象的深度步态特征相对应的标准步态信息。步行能力预测单元,其通过将从新对象获取的步行步态特征信息代入标准步行模式信息来预测新对象的步行能力。

著录项

  • 公开/公告号KR102128267B1

    专利类型

  • 公开/公告日2020-06-30

    原文格式PDF

  • 申请/专利权人 한국과학기술연구원;

    申请/专利号KR20180044311

  • 发明设计人 김진욱;문경률;정환수;

    申请日2018-04-17

  • 分类号A61B5/11;A61B5;A61B5/103;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:22

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