Identifying Individuals’ Footsteps Walking on a Floor Sensor Device

  • Kiryu Ibara
  • Kenta Kanetsuna
  • Masahito Hirakawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8210)


Studies of human-computer interaction have been broadened and deepened and powerful, novel gestural interfaces are of special interest in this field. This paper concerns the motion of feet on a floor sensor device. We have been investigating footstep tracking of individuals walking on the device and have presented a particle filter-based framework. In this paper, we present a trial of extended system facilities, allowing the system to identify pairs of footsteps of individuals walking on the floor sensor device. Three gait characteristics, stride length, footstep direction, and relative pressure values in foot regions, are considered. In addition, an implementation of the improved particle filter framework with Walker’s alias method is also described for speeding execution.


Foot tracking floor sensor footstep pair particle filter 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Kiryu Ibara
    • 1
  • Kenta Kanetsuna
    • 2
  • Masahito Hirakawa
    • 1
  1. 1.Interdisciplinary Graduate School of Science and EngineeringShimane UniversityJapan
  2. 2.Interdisciplinary Faculty of Science and EngineeringShimane UniversityJapan

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