An Approach from Motion Generation Recognition to Intelligence based on Mimesis Principle
An Approach from Motion Generation Recognition to Intelligence based on Mimesis Principle
复制标题
基于模仿原理的从运动生成识别到智能的方法
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
H. Tanie
中科院分区：
文献类型：
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作者：
T. Inamura;H. Tanie
人脑镜像神经元的发现表明，运动的识别和生成是通过双向计算模型来实现的，这种模型通过实体类人机器人形成了符号基础系统。本文提出了基于隐马尔可夫模型的镜像神经元模型。
The discovery of Mirror Neurons in human brain shows that the motion recognition and generation are executed by bidirectional computation model and the model leads to symbol grounding system through em bodied humanoids We have proposed mirror neuron models based on Hidden Markov Models In this pa per we propose a new method for usual models in or der to be developed through behavior observation and generation