The eigenmode analysis of human motion

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Rapid advances in modern communication technology are enabling the accumulation of large-scale, high-resolution observational data of the spatiotemporal movements of humans. Classification and prediction of human mobility based on the analysis of such data has great potential in applications such as urban planning in addition to being a subject of theoretical interest. A robust theoretical framework is therefore required to study and properly understand human motion. Here we perform the eigenmode analysis of human motion data gathered from mobile communication records, which allows us to explore the scaling properties and characteristics of human motion.
Publisher
IOP PUBLISHING LTD
Issue Date
2010-11
Language
English
Article Type
Article
Keywords

SCALING LAWS; BEHAVIOR

Citation

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

ISSN
1742-5468
DOI
10.1088/1742-5468/2010/11/P11021
URI
http://hdl.handle.net/10203/101979
Appears in Collection
GCT-Journal Papers(저널논문)
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