Measurement and estimation of indoor human behavior of everyday life based on floor sensing with minimal invasion of privacy

Yoonseok Pyo, Tsutomu Hasegawa, Masahide Tanaka, Tokuo Tsuji, Kenichi Morooka, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper describes a method of measurement and estimation of human behaviors in a room together with the layout of objects on the floor. The information obtained by the method is essential for a service robot working in a human daily life environment. The method uses only one laser range finder (LRF) installed in the room and a strip of mirror attached to a side wall close to a floor. The area of sensing is limited to a plane parallel to and just a few centimeters above the floor, thus covering the whole room with minimal invasion of privacy of a resident while reducing occlusion. Processing both distance and reflectance acquired by the LRF from the surface of the existing objects allows us to exclude immediately distinguishable clusters and to focus on the analysis of remaining clusters. The human behavior models that we propose are effectively used to estimate human behavior based on the limited LRF data. Our experimental results validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
PublisherIEEE Computer Society
Pages2170-2176
Number of pages7
DOIs
Publication statusPublished - Jan 1 2013
Event2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China
Duration: Dec 12 2013Dec 14 2013

Other

Other2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013
CountryChina
CityShenzhen
Period12/12/1312/14/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Biotechnology

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  • Cite this

    Pyo, Y., Hasegawa, T., Tanaka, M., Tsuji, T., Morooka, K., & Kurazume, R. (2013). Measurement and estimation of indoor human behavior of everyday life based on floor sensing with minimal invasion of privacy. In 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 (pp. 2170-2176). [6739791] IEEE Computer Society. https://doi.org/10.1109/ROBIO.2013.6739791