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Proceedings Paper

A method of personal positioning for indoor customer tracking utilizing wearable inertial sensors
Author(s): Yasuaki Ohtaki; Dan Hu; Koichi Hashimoto; Hikaru Inooka
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Paper 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.

Paper Details

Date Published: 21 March 2006
PDF: 6 pages
Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 60401W (21 March 2006); doi: 10.1117/12.664238
Show Author Affiliations
Yasuaki Ohtaki, Tohoku Univ. (Japan)
Dan Hu, Tohoku Univ. (Japan)
Koichi Hashimoto, Tohoku Univ. (Japan)
Hikaru Inooka, Tohoku Univ. (Japan)

Published in SPIE Proceedings Vol. 6040:
ICMIT 2005: Mechatronics, MEMS, and Smart Materials
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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