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Deep Learning-Based Multifloor Indoor Tracking Scheme Using Smartphone Sensors

  • Published:2022 Issue: Volume:10 Page:63049-63062
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Lin Chenxiang1ORCID,Shin Yoan1ORCID

Affiliation:

1. School of Electronic Engineering, Soongsil University, Seoul, South Korea

Funder

National Research Foundation of Korea (NRF) funded by the Korean Government through the Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference47 articles.

1. How to start training: The effect of initialization and architecture;hanin;arXiv 1803 01719,2018

2. Self-normalizing neural networks;klambauer;arXiv 1706 02515,2017

3. Pedestrian Heading Estimation Based on Spatial Transformer Networks and Hierarchical LSTM

4. Mobile Stride Length Estimation With Deep Convolutional Neural Networks

5. StepNet—Deep Learning Approaches for Step Length Estimation

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2. Deep Learning-Based Channel Estimation Method for MIMO Systems in Spatially Correlated Channels;IEEE Access;2024

3. Multi-Floor Indoor Localization Scheme Using a Seq2Seq-Based Floor Detection and Particle Filter With Clustering;IEEE Access;2023

4. Floor Localization Based on Seq2Seq Model;2022 13th International Conference on Information and Communication Technology Convergence (ICTC);2022-10-19

5. Improvement of Baro Sensors Matrix for Altitude Estimation;Sensors;2022-09-18
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