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

Yasuaki Ohtaki; Dan Hu; Koichi Hashimoto; Hikaru Inooka

doi:10.1117/12.664238

21 March 2006 A method of personal positioning for indoor customer tracking utilizing wearable inertial sensors

Yasuaki Ohtaki, Dan Hu, Koichi Hashimoto, Hikaru Inooka

Proceedings Volume 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials; 60401W (2006) https://doi.org/10.1117/12.664238
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Yasuaki Ohtaki, Dan Hu, Koichi Hashimoto, and Hikaru Inooka "A method of personal positioning for indoor customer tracking utilizing wearable inertial sensors", Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 60401W (21 March 2006); https://doi.org/10.1117/12.664238

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KEYWORDS

Sensors

Particles

Particle filters

Gait analysis

Motion models

Detection and tracking algorithms

Environmental sensing

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