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

Yasuaki Ohtaki, Dan Hu, Koichi Hashimoto, Hikaru Inooka

研究成果: Conference article査読

抄録

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.

本文言語English
論文番号60401W
ジャーナルProceedings of SPIE - The International Society for Optical Engineering
6040
DOI
出版ステータスPublished - 2005 12 1
イベントICMIT 2005: Mechatronics, MEMS and Smart Materials - Changchun, China
継続期間: 2005 9 202005 9 23

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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