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inria-00616876, version 2

Understanding Human Movement Semantics: A Point of Interest Based Approach

Ionut Trestian () b1, Kévin Huguenin () a23, Ling Su b1, Aleksandar Kuzmanovic b1

N° RR-7716 (2011)

  • a –  Université de Rennes 1
  • b –  Northwestern University
  • 1:  Department of Electrical Engineering and Computer Science (EECS)
  • http://www.eecs.northwestern.edu/
    Northwestern University Sheridan Rd Evanston IL 60208 United States
  • 2:  ASAP (INRIA - IRISA)
  • http://www.inria.fr/equipes/asap
    CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1 Campus de Beaulieu 35042 Rennes cedex France
  • 3:  School of Computer Science [Quebec] (SOCS)
  • http://www.cs.mcgill.ca/
    McGill University 3480 University Street Montreal, McConnell Engineering Bldg, Rm 318, Quebec, Canada H3A 2A7 - Phone: (514) 398-7071 Fax: (514) 398-3883 Canada
  • Available versions :  v1 (2011-10-04) v2 (2012-02-01)
  • Bibliographic reference

    • Type of document: Research reports
    • Domain:
      Computer Science/Distributed, Parallel, and Cluster Computing
      Computer Science/Networking and Telecommunication
      Computer Science/Mobile Computing
      Computer Science/Ubiquitous Computing
    • Title: Understanding Human Movement Semantics: A Point of Interest Based Approach
    • Abstract: The recent availability of human mobility traces has driven a new wave of research -- on human movement -- with straightforward applications in wireless/cellular network algorithmic problems. However, all of the studies isolate movement from the environment that surrounds people, i.e., the points of interest that they visit. In this paper we revisit the human mobility problem with new assumptions. We believe that human movement is not independent of the surrounding locations; most of the time people travel with specific goals in mind, visit specific points of interest, and frequently revisit favorite places. Points of interest are also differently spread. We study the correlation between people's trajectories and the differently spread points of interest nearby. More specifically, by analyzing GPS mobility traces of a large number of users located across two distinct geographical locations, we find that: (i) users do not articularly visit only locations that are close to them but the functional aspect of the location matters as well, (ii) although users in different parts of the globe exhibit different time-of-day behavior, we also find that there is a striking correlation in the frequency of visits to the basic points-of-interest categories that we define.
    • Full text language: English
    • Report type: Research Report
    • Page number: 21
    • Publication date: 2011-08
    • Internal note: RR-7716
    • Contract, financing: Kévin Huguenin was partially funded by an "Explorateur" grant offered by INRIA

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    • inria-00616876, version 2
    • oai:hal.inria.fr:inria-00616876
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    • Submitted on: Wednesday, 1 February 2012 09:16:49
    • Updated on: Thursday, 2 February 2012 14:43:04