Mobile agent in the intelligent space which can learn human walking behavior
Mobile agent in the intelligent space which can learn human walking behavior
复制标题
智能空间中的移动代理可以学习人类步行行为
DOI：
10.1109/aim.2005.1511178
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
H. Hashimoto
中科院分区：
文献类型：
--
作者：
P. Szemes;T. Sasaki;H. Hashimoto
人类行走行为的知识对于移动智能体在人类共享空间中以最小的干扰进行操作至关重要。本文介绍了一种利用智能空间的CCD摄像机，通过观察人的行走行为来获取人的行走行为的观察学习框架。所提出的行为学习框架采用模糊神经网络来近似观察到的人类行为，并对观察数据进行聚类，从观察中提取重要的训练数据。初步实验证明了所引入行为的优越性
The knowledge of human walking behavior has primary importance for mobile agent in order to operate in the human shared space, with minimal disturbance of other humans. This paper introduces such an observation and learning framework, which can acquire the human walking behavior from observation of human walking, using CCD cameras of the intelligent space. The proposed behavior learning framework applies fuzzy-neural network to approximate observed human behavior, with observation data clustering in order to extract important training data from observation. Preliminary experiment is shown to demonstrate the merit of the introduced behavior