21-2 Human Locomotion Segmentation by Constrained Hierarchical Clustering of GPS Data
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概要
- 論文の詳細を見る
We present a system for segmenting continuously archived human locomotion data. A portable GPS receiver acquires and stores data regarding its bearer's location and motion. A constrained hierarchical clustering algorithm segments these data into two basic classes of locomotion. A visualization incorporating user knowledge allows effective summarization of the results. A quantitative evaluation demonstrates that the average accuracy of the clustering algorithm is approximately 94%, despite the presence of location-dependent noise.
- 一般社団法人映像情報メディア学会の論文
- 2008-08-01
著者
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Yamasaki Toshihiko
Univ. Tokyo Tokyo Jpn
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Aizawa Kiyoharu
Univ. Tokyo Tokyo Jpn
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Aizawa Kiyoharu
The University Of Tokyo
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DE SILVA
The University of Tokyo
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YAMASAKI Toshihiko
The University of Tokyo
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Aizawa Kiyoharu
the Department of Information and Communication Engineering, the University of Tokyo
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Yamasaki Toshihiko
the Department of Information and Communication Engineering, the University of Tokyo
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