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HAND TRAJECTORY RECOGNITION METHOD FOR FOLLOWING ROBOT BASED ON HAND VELOCITY AND TRAJECTORY DISTRIBUTION

机译:基于手速度和轨迹分布的跟随机器人手轨迹识别方法

摘要

A hand trajectory recognition method for a following robot based on hand velocity and trajectory distribution comprises: sampling and photographing an operator by a kinect camera to obtain hand projection plane data; smoothing the hand projection plane data by moving average, establishing velocity vectors, and processing the velocity vectors to obtain a hand movement descriptor; establishing a hand movement area, traversing hand three-dimensional positions of all frames in an order of sampling and photographing, assigning a mesh where the hand three-dimensional position of each frame is located, and calculating centroid positions of all assigned meshes; establishing centroid directing vectors, and processing the centroid directing vectors to obtain a hand trajectory shape descriptor; and processing cosine values of two angles to obtain a common similarity of the movement descriptor and the trajectory shape descriptor to standard descriptors, and using a standard gesture with a maximum common similarity as a result. The present invention can accurately recognize the class of a gesture, is insensitive to the translation, scaling, rotation and order of hand trajectories, is high in flexibility and can save time and energy.
机译:一种基于手部速度和轨迹分布的跟随机器人手部轨迹识别方法,包括:通过kinect摄像机对操作者进行采样和拍照,获得手部投影平面数据;通过移动平均平滑手部投影平面数据,建立速度向量,并处理速度向量以获得手部运动描述符;建立手部运动区域,按照采样和拍照的顺序遍历所有帧的手部三维位置,分配每个帧的手部三维位置所在的网格,并计算所有分配网格的质心位置;建立质心定向向量,对质心定向向量进行处理,得到手轨迹形状描述符;以及处理两个角度的余弦值,以获得运动描述符和轨迹形状描述符与标准描述符的公共相似性,并使用具有最大公共相似性的标准手势作为结果。本发明能够准确识别手势的类别,对手部轨迹的平移、缩放、旋转和顺序不敏感,灵活性高,可以节省时间和精力。

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