中文摘要：

为了实现对工业机械手的手势控制,并针对单个Leap Motion传感器在使用时因手指或者手掌遮挡而导致识别率降低的缺点,提出了基于多Leap Motion传感器,用于人手数据采集的新型控制系统。该系统采用基于主成分分析法的数据融合技术对该多传感器数据进行数据融合以得到人手姿态完整的信息,再将该融合数据送入SVM多分类器进行手势姿态识别。实验结果表明该系统能准确地检测人手完整信息,避免了使用单个Leap Motion传感器因视觉干扰或者不可避免的遮挡导致手势姿态数据不准确的问题,提高了手势识别率,可以准确、有效地实现对机械手进行控制。

英文摘要：

In order to achieve the gesture control of industrial manipulator, considering the decreased recognition rate caused by fingers and palm blocks, the paper proposed a new contrnl system based on multiple leap motion sensors for detecting hand data. The system adopted the data fusion technology based on principal component analysis to obtain complete hand gesture informarion, and then the data was put into SVM classifier to achieve gesture recognition. Experimental results show that the system can accurately detect manpower complete information, which avoids the problem of inaccurate gesture data caused by visual disturbances or inevitable occlusion by using a single leap motion sensor, improving gesture recognition rate, and it can achieve the control of manipulator accurately and efficiently.