Floor vibration type estimation with piezo sensor toward indoor positioning system

Yukitoshi Kashimoto, Manato Fujimoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

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

10 Citations (Scopus)

Abstract

These days, smart home applications such as a concierge service for residents, home appliance control and so on are attracting attention. In order to realize these applications, we strongly believe that we need an indoor positioning system which fulfills the following requirements: Req 1: high accuracy; Req 2: low installation cost; Req 3: small burden on the user; Req 4: low privacy invasion. There are several studies which work on the indoor positioning system. However, these previous works do not accomplish the requirements. In this paper, we present a piezo sensor-based indoor positioning system which estimates the position of the user by utilizing a piezo component attached on the floor. To realize the proposed positioning system, we have tackled two challenges. First challenge is the development of an indoor positioning technique. We cannot utilize TDoA technique that is used to estimate the distance from the target, since the calculation of vibration velocity is difficult. To cope with this challenge, we have developed a new technique which estimates the position of the user from floor vibrations caused by their actions. Second challenge is the selection of the feature vector to estimate the vibration type accurately. We have selected MFCC, FFT, and Envelope shape features from preliminary experiments. We have implemented the proposed system in our smart home testbed. We have evaluated the performance of the vibration type estimation technique. As a result, we have confirmed that our technique estimates the type with F-measure: 93.9%.

Original languageEnglish
Title of host publication2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024254
DOIs
Publication statusPublished - Nov 14 2016
Externally publishedYes
Event2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 - Madrid, Spain
Duration: Oct 4 2016Oct 7 2016

Publication series

Name2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016

Other

Other2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016
CountrySpain
CityMadrid
Period10/4/1610/7/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

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