Moving Human Posture Recognition Based on Joint Quaternion  

作　　者：刘妍 郝矿荣 丁永生 

机构地区：[1]Engineering Research Center of Digitized Textile & Apparel Technology,Ministry of Education,Donghua University [2]College of Information Sciences and Technology,Donghua University

出　　处：《Journal of Donghua University(English Edition)》2016年第5期694-698,共5页东华大学学报（英文版）

基　　金：the Key Project of the National Natural Science Foundation of China(No.61134009);National Natural Science Foundations of China(Nos.61473077,61473078,61503075);Cooperative Research Funds of the National Natural Science Funds Overseas and Hong Kong and Macao Scholars,China(No.61428302);Program for Changjiang Scholars from the Ministry of Education,China;Specialized Research Fund for Shanghai Leading Talents,China;Project of the Shanghai Committee of Science and Technology,China(No.13JC1407500);Innovation Program of Shanghai Municipal Education Commission,China(No.14ZZ067);Shanghai Pujiang Program,China(No.15PJ1400100);the Fundamental Research Funds for the Central Universities,China(Nos.15D110423,2232015D3-32)

摘　　要：Posture recognition plays an important role in many applications,such as security system and monitoring system.Joint quaternion combined with support vector machine(SVM) can solve the problem of moving human posture recognition.It is a simple and effective algorithm that only three joints are used as the feature points in the whole human skeleton.Using the quaternion of the three joints,a feature vector with five parameters in gait cycle is extracted.The efficiency of the proposed method is demonstrated through an experimental study,and walking and running postures can be distinguished accurately.Posture recognition plays an important role in many applications,such as security system and monitoring system.Joint quaternion combined with support vector machine（SVM） can solve the problem of moving human posture recognition.It is a simple and effective algorithm that only three joints are used as the feature points in the whole human skeleton.Using the quaternion of the three joints,a feature vector with five parameters in gait cycle is extracted.The efficiency of the proposed method is demonstrated through an experimental study,and walking and running postures can be distinguished accurately.

关 键 词：Recognition joints rotation running recognize distinguished coordinates frames camera interpolation 

分 类 号：TN911.73[电子电信—通信与信息系统]