Proposed method adopts end-to-end location estimation, which means the neural network takes a time-series of signal strength and outputs the estimated location at the latest time in the input time-series. We also build a loss function which takes how a person walks into account.
In this paper, we propose an indoor location estimation method for Bluetooth Low Energy (BLE) devices using end-to-end LSTM neural network. We focus on ...
This paper proposes an indoor localization method for Bluetooth Low Energy (BLE) devices using an end-to-end LSTM neural network. We focus on a large-scale ...
An End-to-End BLE Indoor Location Estimation Method Using LSTM. In Twelfth International Conference on Mobile Computing and Ubiquitous Network, ICMU 2019 ...
Article "An End-to-End BLE Indoor Localization Method Using LSTM" Detailed information of the J-GLOBAL is an information service managed by the Japan ...
<p>This paper proposes an indoor localization method for Bluetooth Low Energy (BLE) devices using an end-to-end LSTM neural network.
This paper proposes an indoor localization method for Bluetooth Low Energy (BLE) devices using an end-to-end LSTM neural network. We focus on a large-scale ...
Basic Study of BLE Indoor Localization using LSTM-based ...
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In this paper, LSTM-based neural network is applied to indoor localization using mobile BLE tag's signal strength collected by multiple scanners.
An End-to-End BLE Indoor Location Estimation Method Using LSTM · Computer Science, Engineering. 2019 Twelfth International Conference on Mobile… · 2019.
Existing wireless-inertial fusion positioning mechanisms predominantly rely on empirical propagation models of wireless signals and are often fused by ...