Real-Time 3D Indoor Positioning with Human Activity Transition Recognition on Mobile Devices-Reference-Cited by-同舟云学术

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Real-Time 3D Indoor Positioning with Human Activity Transition Recognition on Mobile Devices

Published:2024-06-09 Issue: Volume:17 Page:873-878
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Liang Wendi¹,Wang Zewei²,Guo Sheng³,Pun Man-On¹

Affiliation:

1. School of Science and Engineering, the Future Network of Intelligence Institute (FNii), the Chinese University of Hong Kong,Shenzhen,China,518172

2. Chinese University of Hong Kong,Department of Information Engineering,Hong Kong,China

3. Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen),China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623070.pdf?arnumber=10623070

Reference7 articles.

1. WAIPO: A Fusion-Based Collaborative Indoor Localization System on Smartphones

2. Indoor Semantic-Rich Link-Node Model Construction Using Crowdsourced Trajectories From Smartphones

3. Smartphones based Online Activity Recognition for Indoor Localization using Deep Convolutional Neural Network

4. Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors

5. An effective deep autoen-coder approach for online smartphone-based human activity recognition;Almaslukh;International Journal of Computer Science and Network Security,2017

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