Human Hand Detection for Gestures Recognition of A Partner Robot
Human Hand Detection for Gestures Recognition of A Partner Robot
复制标题
用于伙伴机器人手势识别的人手检测
DOI：
10.1109/wac.2006.375946
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
M. Abe
中科院分区：
文献类型：
--
作者：
N. Kubota;M. Abe
本文提出了一种用于机器人与人通信的手势识别的人手检测方法。根据人与机器人之间的通信中的情况，人手运动可以被识别为不同的含义。首先，我们提出了一种稳态遗传算法提取人手位置的时间序列，接下来，一个由脉冲神经网络和自组织映射组成的机器人手势识别方法。最后，通过实验结果讨论了该方法的有效性。
This paper proposes a human hand detection method for gesture recognition used for communication of a robot with a human. A human hand motion can be recognized as a different meaning according to a situation in the communication between the human and robot. First, we propose a steady-state genetic algorithm for extracting a time series of human hand position, and next, a gestures recognition method of a robot composed of a spiking neural network and self-organizing map. Finally, we discuss the effectiveness of the proposed method through several experimental results.