Multi-Hierarchical Modeling of Driving Behavior Using Dynamics-Based Mode Segmentation
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概要
- 論文の詳細を見る
This paper presents a new hierarchical mode segmentation of the observed driving behavioral data based on the multi-level abstraction of the underlying dynamics. By synthesizing the ideas of a feature vector definition revealing the dynamical characteristics and an unsupervised clustering technique, the hierarchical mode segmentation is achieved. The identified mode can be regarded as a kind of symbol in the abstract model of the behavior. Second, the grammatical inference technique is introduced to develop the context-dependent grammar of the behavior, i.e., the symbolic dynamics of the human behavior. In addition, the behavior prediction based on the obtained symbolic model is performed. The proposed framework enables us to make a bridge between the signal space and the symbolic space in the understanding of the human behavior.
- (社)電子情報通信学会の論文
- 2009-11-01
著者
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Suzuki Tatsuya
Department Of Obstetrics And Gynecology School Of Medicine Jichi Medical University
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OKUDA Hiroyuki
Department of Metal Science and Technology,Kyoto University
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SUZUKI TATSUYA
Graduate School of Engineering, Nagoya University
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Hayakawa Soichiro
Mie University
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Suzuki Tatsuya
Department Of Electronic-mechanical Engineering Graduate School Of Engineering Nagoya University
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Suzuki Tatsuya
Department Of Mechanical Science And Engineering Graduate School Of Engineering Nagoya University
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Okuda Hiroyuki
Department Of Mechanical Science And Engineering Graduate School Of Engineering Nagoya University
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NAKANO Ato
Department of Mechanical Science and Engineering, Nagoya University
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HAYAKAWA Soichiro
Department of Mechanical Engineering, Mie University
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Nakano Ato
Department Of Mechanical Science And Engineering Nagoya University
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Suzuki Tatsuya
Department Of Chemistry And Biotechnology School Of Engineering The University Of Tokyo
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