Assessment system of lower limb rehabilitation action based on Kinect

YANG Wen-lu; WANG Jie; XIA Bin; XIE Hong

doi:10.13873/J.1000-9787(2017)01-0091-04

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Assessment system of lower limb rehabilitation action based on Kinect

更新时间：2025-09-11

- Assessment system of lower limb rehabilitation action based on Kinect
- Vol. 36, Issue 1, Pages: 91-94(2017)
- 作者机构：
  
  上海海事大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2017)01-0091-04
  CLC： R743.3;TP212.9
- Published：2017
- 稿件说明：
移动端阅览
[1]杨文璐,王杰,夏斌,谢宏.基于Kinect的下肢体康复动作评估系统[J].传感器与微系统,2017,36(01):91-94.

YANG Wen-lu, WANG Jie, XIA Bin, et al. Assessment system of lower limb rehabilitation action based on Kinect[J]. 2017, 36(1): 91-94.
[1]杨文璐,王杰,夏斌,谢宏.基于Kinect的下肢体康复动作评估系统[J].传感器与微系统,2017,36(01):91-94. DOI： 10.13873/J.1000-9787(2017)01-0091-04.

YANG Wen-lu, WANG Jie, XIA Bin, et al. Assessment system of lower limb rehabilitation action based on Kinect[J]. 2017, 36(1): 91-94. DOI： 10.13873/J.1000-9787(2017)01-0091-04.

摘要

针对中风患者下肢体的训练需求

设计了一个康复训练评估系统。利用Kinect 2.0体感设备实时采集下肢体康复动作的序列信息

提取相关关节的角度序列特征

与动作库中的标准动作序列特征对比后

计算相关度

再加入时间参量

综合得出评估结果。试验结果表明:该系统能准确地识别和引导受试者的康复动作;并且可以通过组建不同的姿势库来评估更多的康复动作。

Abstract

Aiming at demand for training under limbs of stroke patients

design a rehabilitation training assessment system. System real-time collect sequence information of lower limb rehabilitation action utilizing Kinect 2. 0somatosensory equipment. Extract angle sequence characteristics of relevant joints

after comparing with the action library standard action sequence characteristics

calculate correlation

add time parameter

comprehensive assessment of results is obtained. The results show that this system can accurately identify and guide the participants’ rehabilitation

and more rehabilitation actions can be assessed through formation of different posture library.

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references

Kinect与Unity3D数据整合技术在体感游戏中的应用研究 [J]. 刘晋钢,刘卫斌,刘晋霞. 电脑开发与应用 . 2014(11)

基于Kinect的肩周炎康复训练动作识别系统研究 [J]. 汤翾,黄襄念,周杉. 现代计算机(专业版) . 2014(23)

基于Kinect角度测量的姿势识别算法 [J]. 战荫伟,于芝枝,蔡俊. 传感器与微系统 . 2014(07)

基于模板匹配的语音样例快速检索技术研究 [D]. 冯志远. 解放军信息工程大学 2013

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