2P1-J08 スパイキングニューラルネットワークに基づく行動推定のためのオンライン学習機構の構築(空間知)

概要

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Human behavior recognition is one of the most important approaches in ubiquitous society. With the development of information technology and network technology, we can get various data from environments. However, it is very difficult to extract the required information from the huge data in real time. Almost previous method is based on off-line statistic approaches for modeling human behaviors. In this paper, we discuss on-line learning methods for human behavior recognition using sensor network. First of all, we apply a spiking neural network as a learning architecture based on the time series of measured data. Furthermore, we propose hierarchical learning structure using spiking neural network. Finally, we discuss the effectiveness of the proposed method through experimental results in a living room.
一般社団法人日本機械学会の論文
2011-05-26