软件导刊2024，Vol.23Issue(1)：32-41,10.DOI:10.11907/rjdk.231043
基于关节点连接广度矩阵的颈椎康复运动识别
Cervical Spine Rehabilitation Action Recognition Based on Joint Connection Breadth Matrix
摘要
Abstract
To improve the accuracy and real-time performance of cervical spine rehabilitation motion recognition,a cervical spine rehabilita-tion action recognition method based on joint point connection breadth matrix is proposed.In the preprocessing stage,the skeleton is first ex-tracted from real-time human video stream data;Then,based on the action characteristics of the human skeleton,the feature information of the human skeleton during action is accurately extracted,and the change information in local space is obtained.The breadth first search algo-rithm is used to traverse the relevant nodes in the skeleton graph,establish the joint point connection breadth matrix,divide the triangular sub-graph based on the connection breadth information,and assign weights to the joint points to improve the recognition efficiency of the model;Fi-nally,the spatiotemporal features of the joint connection breadth matrix are extracted,and recognition is completed through SVM classifiers.The recognition method was validated on the CRED and MSR Action 3D public datasets for cervical rehabilitation movement.The experimental results showed that the average time consumption of the cervical rehabilitation movement recognition method based on the joint point connec-tion breadth matrix was 1.20 seconds,the average frame rate was 27,and the average recognition accuracy was 92.72%,which has certain ad-vantages compared to existing methods.关键词
颈椎康复运动/关节点连接广度矩阵/人体骨架/三角子图/时空特征Key words
cervical spine rehabilitation exercises/action joint connection breadth matrix/human skeleton/triangle subgraph/spatial tem-poral features分类
计算机与自动化引用本文复制引用
朱子豪,何宏,汪焰兵,孙浩..基于关节点连接广度矩阵的颈椎康复运动识别[J].软件导刊,2024,23(1):32-41,10.基金项目
国家科技部项目(G2021013008) （G2021013008）
上海市科学技术委员会项目(18070503000) （18070503000）
国家重点研发计划项目(2020YFC2005802) （2020YFC2005802）
上海市教育委员会上海高校大学计算机课程教学改革项目(2021) （2021）
上海理工大学医工交叉重点项目(1020308405,1022308502) （1020308405,1022308502）
