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用于物理康复锻炼的人体运动数据集。

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2026-02-12 06:13

用于物理康复锻炼的人体运动数据集。

A Data Set of Human Body Movements for Physical Rehabilitation Exercises.

作者信息

Vakanski Aleksandar, Jun Hyung-Pil, Paul David, Baker Russell

机构信息

University of Idaho, Industrial Technology, 1776 Science Center Drive, Idaho Falls, ID 83402, USA.

University of Idaho, Department of Movement Sciences, 875 Perimeter Drive, Moscow, ID 83844, USA.

出版信息

Data (Basel). 2018 Mar;3(1). doi: 10.3390/data3010002. Epub 2018 Jan 11.

Abstract

The article presents University of Idaho - Physical Rehabilitation Movement Data (UI-PRMD) - a publically available data set of movements related to common exercises performed by patients in physical rehabilitation programs. For the data collection, 10 healthy subjects performed 10 repetitions of different physical therapy movements, with a Vicon optical tracker and a Microsoft Kinect sensor used for the motion capturing. The data are in a format that includes positions and angles of full-body joints. The objective of the data set is to provide a basis for mathematical modeling of therapy movements, as well as for establishing performance metrics for evaluation of patient consistency in executing the prescribed rehabilitation exercises.

摘要

本文介绍了爱达荷大学物理康复运动数据（UI-PRMD）——这是一个公开可用的数据集，包含物理康复项目中患者进行常见锻炼时的相关运动数据。在数据收集过程中，10名健康受试者对不同的物理治疗动作进行了10次重复操作，使用Vicon光学跟踪器和Microsoft Kinect传感器进行动作捕捉。数据采用包含全身关节位置和角度的格式。该数据集的目的是为治疗动作的数学建模提供基础，同时为评估患者执行规定康复锻炼的一致性建立性能指标。