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Where Have You Been Today? Annotating Trajectories with DayTag

  • Salvatore Rinzivillo
  • Fernando de Lucca Siqueira
  • Lorenzo Gabrielli
  • Chiara Renso
  • Vania Bogorny
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8098)

Abstract

Traditionally, the information about human mobility behavior, called diary, is acquired from volunteers by means of paper-and-pencil surveys. These diaries, representing the mobile activities of individuals, are semantically rich, but lack in spatial and temporal precision. An alternative way is collecting diaries by annotating with activities the GPS tracks of individuals. This is more accurate from a spatio-temporal point of view, but the manual annotation becomes a burdensome work for the user. The tool we propose, called DayTag, is designed as a personal assistant to help an individual to reconstruct her/his diary from the GPS tracks collected by a smartphone. The user interacts through the software to visualize and annotate the trajectories, thus resulting in a simple way to get user diaries.

Keywords

Manual Annotation Personal Assistant Mobility Behavior Conceptual Data Model Semantic Trajectory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Salvatore Rinzivillo
    • 1
  • Fernando de Lucca Siqueira
    • 2
  • Lorenzo Gabrielli
    • 1
  • Chiara Renso
    • 1
  • Vania Bogorny
    • 2
  1. 1.ISTI - CNRPisaItaly
  2. 2.Universidade Federal de Santa CatarinaFlorianopolisBrazil

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