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Towards reconstruction of human trajectories in indoor environments

Abstract : In this paper, we propose to study how to reconstruct the human trajectory in complex environments (indoor) such as museums that are often not equipped with WIFI or other monitoring techniques. We have set up a micro-localization infrastructure Bluetooth Low Energy. We propose to use a sampling method for finding position stops (point in a trajectory), because a deep learning method is not adapted to this case.
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https://hal.archives-ouvertes.fr/hal-03341263
Contributor : Guillaume Bernard Connect in order to contact the contributor
Submitted on : Friday, September 10, 2021 - 3:57:20 PM
Last modification on : Thursday, May 12, 2022 - 3:35:20 PM

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Distributed under a Creative Commons Attribution - NoDerivatives 4.0 International License

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  • HAL Id : hal-03341263, version 1

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Guillaume Bernard, Cyril Faucher, Karell Bertet. Towards reconstruction of human trajectories in indoor environments. EKAW 2018, Nov 2018, Nancy, France. pp.37-40. ⟨hal-03341263⟩

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