A Sensor Fusion Approach to Indoor Human Localization Based on Environmental and Wearable Sensors-Reference-Cited by-同舟云学术

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A Sensor Fusion Approach to Indoor Human Localization Based on Environmental and Wearable Sensors

Published:2019-01 Issue:1 Volume:16 Page:339-350
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Pham Minh^ORCID,Yang Dan^ORCID,Sheng Weihua^ORCID

Funder

National Science Foundation

National Natural Science Foundation of China

State Key Laboratory of Industrial Control Technology

Fundamental Research Funds for the Central Universities of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/8602371/08510895.pdf?arnumber=8510895

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Bipedal Locomotion-Based Indoor Location Tracking Using Fiber-Optic Sensors;IEEE Sensors Journal;2024-04-15

2. SALC: Skeleton-Assisted Learning-Based Clustering for Time-Varying Indoor Localization;IEEE Transactions on Network Science and Engineering;2024-01

3. Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey;IEEE Transactions on Automation Science and Engineering;2024

4. Conventional system to deep learning based indoor positioning system;Indian Journal of Engineering and Materials Sciences;2024

5. Single Person Occupancy Detection Using PIR Sensors;Lecture Notes in Networks and Systems;2024

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