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基于特征向量匹配的舞蹈实时姿态分析方法
引用本文:王露晨,韩丽,张美超,陈芙蓉.基于特征向量匹配的舞蹈实时姿态分析方法[J].计算机应用研究,2016,33(12).
作者姓名:王露晨  韩丽  张美超  陈芙蓉
作者单位:辽宁师范大学,辽宁师范大学,辽宁师范大学,辽宁师范大学
基金项目:*国家自然科学(61202316),辽宁省高等学校优秀人才支持项目(LJQ2013110)资助;
摘    要:针对人体运动姿态可自由编辑的特性,提取人体骨架模型,建立人体运动姿态模型库,分析了运动捕捉系统在舞蹈训练中的应用,提出基于特征平面间相似性匹配的方法来计算模型各部件间运动数据参数。经过验证,该方法对于人体姿态的分析具有较高的准确性、鲁棒性,使得舞蹈演员能够准确的对比出与标准舞蹈动作的差异,为舞蹈者进行科学舞蹈训练提供了理论支持。

关 键 词:动作捕捉  姿态分析  自由编辑  骨架模型  特征平面  相似性匹配  科学训练
收稿时间:2015/8/31 0:00:00
修稿时间:2016/10/20 0:00:00

Dance posture real-time analysis method based on feature vector
WangLuchen,HanLi,ZhangMeichao and ChenFurong.Dance posture real-time analysis method based on feature vector[J].Application Research of Computers,2016,33(12).
Authors:WangLuchen  HanLi  ZhangMeichao and ChenFurong
Affiliation:Liaoning Normal University,Liaoning Normal University,Liaoning Normal University,Liaoning Normal University
Abstract:Aim at the characteristic of human motion are freely edited, to extract human skeleton model, establish of human motion posture model database, analyze the motion capture system in the application of dance training, and based on the similarity between feature plane matching method was proposed to calculate the movement of data between various components parameters. The experiment proved that the method for the analysis of body posture with higher accuracy and robustness, so that the dancer can accurately compare the differences with the standard dance movements. It provides theoretical support for the dance scientific training.
Keywords:Motion capture  Gesture analysis  Freely edited  Skeleton mode  Feature plane  Similarity matching  Scientific training  
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