A method of personal positioning for indoor customer tracking utilizing wearable inertial sensors

Yasuaki Ohtaki, Dan Hu, Koichi Hashimoto, Hikaru Inooka

Research output: Contribution to journalConference articlepeer-review

Abstract

In order to achieve in-store customer traffic tracking, a method should be capable of catching personnel routings and ambulation trajectories while shopping. In this study, we presented a practical method for indoor personnel positioning, especially focusing on ambulatory path recognition and trajectory estimation. The method was designed to be autonomous needless of neither external measures nor cumbersome installations to a store environment. To avoid an inherent problem of trajectory estimation through Dead-Reckoning algorithm, an advanced probabilistic Map Matching method was applied utilizing a Particle filtering technique. The experiment was performed to confirm the utility of the proposed method in a small retail store. The result showed that the proposed method provided feasible successes in tracking personnel positioning.

Original languageEnglish
Article number60401W
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6040
DOIs
Publication statusPublished - 2005 Dec 1
EventICMIT 2005: Mechatronics, MEMS and Smart Materials - Changchun, China
Duration: 2005 Sep 202005 Sep 23

Keywords

  • Dead Reckoning
  • Human Walking
  • Inertial Sensor
  • LocatiOn Estimation
  • Map Matching
  • Medical and Health Welfare Instruments
  • Navigation
  • Particle Filter
  • Personnel Positioning

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A method of personal positioning for indoor customer tracking utilizing wearable inertial sensors'. Together they form a unique fingerprint.

Cite this