An efficient fuzzy logic step detection algorithm for unconstrained smartphones

Soufien Kammoun, Jean Baptiste Pothin, Jean Christophe Cousin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an improved step detection approach for smartphones. The improvements consist in a new fuzzy-logic (FL) algorithm for user's step detection using accelerometer data. The proposed method exploits ranges of features reported in reference data on basic gait parameters. We also formulate robust defuzzification-rules related to future outputs. Furthermore, we compared the performances with different state-of-art detectors using the statistical criteria Precision, Recall and F1-Score. In real indoor scenarios, the proposed algorithm has exhibited robust step detection, with an improvement of F1-score up to 89.8% compared to traditional step detectors.

Original languageEnglish
Title of host publication2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2110-2114
Number of pages5
ISBN (Electronic)9781467367820
DOIs
Publication statusPublished - 1 Dec 2015
Event26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015 - Hong Kong, China
Duration: 30 Aug 20152 Sept 2015

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2015-December

Conference

Conference26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
Country/TerritoryChina
CityHong Kong
Period30/08/152/09/15

Keywords

  • Pedestrian Dead Reckoning
  • indoor positioning
  • step detection

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