HASC-IPSC: indoor pedestrian sensing corpus with a balance of gender and age for indoor positioning and floor-plan generation researches

  • Authors:
  • Katsuhiko Kaji;Hodaka Watanabe;Ryoji Ban;Nobuo Kawaguchi

  • Affiliations:
  • Nagoya University, Nagoya, Japan;Nagoya University, Nagoya, Japan;Nagoya Universityy, Nagoya, Japan;Nagoya University, Nagoya, Japan

  • Venue:
  • Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
  • Year:
  • 2013

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Abstract

Up till now, the majority of researches related to location estimation and floor plan creation have used different kinds of data and there has simply been no technique to compare the relative advantages and disadvantages. We collected indoor pedestrian sensing data of 100 people with a balance of gender and age. The data is part of the HASC corpus, free to use for research purposes.