人体运动捕捉过程中的人体下肢动作识别  

Action Recognition of Human's Lower Limbs in the Process of Human Motion Capture

作　　者：梁丰[1] 张志利[1] 李向阳[1] 佟昭[1] 

机构地区：[1]第二炮兵工程大学兵器发射理论与技术军队重点实验室,西安710025

出　　处：《计算机辅助设计与图形学学报》2015年第12期2419-2427,共9页Journal of Computer-Aided Design & Computer Graphics

摘　　要：为了实现对虚拟人大范围运动的控制,针对人体下肢运动过程提出一种动作识别方法.首先根据人体下肢运动特点选取人体下肢动作识别运动参数,提出一种基于小波分形和最小二乘拟合的动作特征提取方法;然后基于支持向量机实现了对下肢运动链中各运动参数的动作识别;在获得各运动参数识别结果的基础上,采用证据理论实现了对识别结果的融合.采用运动捕捉数据进行实验的结果表明,该方法需要的训练样本少、实时性好,能够满足不同体型的人体动作识别需求,具有较好的应用前景.In order to control the wide range motion of virtual human, an action recognition method was proposed in the motion process of human’s lower limbs. Firstly, according to the motion characteristics of human’s lower limbs motion parameters used for action recognition were chosen and an action characteristic extraction method based on wavelet fractal and least square fit was presented. Then, the action recognition of each motion parameter of human’s lower limb kinematic chain was realized based on support vector machine. After achieving action recognition result of each motion parameter, the evidence theory was employed to fuse the recognition results. The experimental results of motion capture data show that the method only needs a small amount of training samples and has good real-time performance which can meet the action recognition need of people with different body types and has a good application prospect.

关 键 词：运动捕捉数据 动作识别 小波分形 支持向量机 证据理论 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]