Wi-Fi-Based Indoor Patient Location Identifier for COVID-19

Juliet, A. Noble Mary; Rani, Neha; Dheepiga, S. R.; Rishi, Rahul

doi:10.1007/978-981-16-3728-5_38

Computer Networks and Inventive Communication Technologies

2021

DOI: 10.1007/978-981-16-3728-5_38

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Wi-Fi-Based Indoor Patient Location Identifier for COVID-19

A. Noble Mary Juliet¹,

Neha Rani²,

S. R. Dheepiga³

et al.

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2023

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A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

Wang

Zhang

et al. 2023

ACM Trans. Internet Technol.

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Fusion positioning technology requires stable and effective positioning data, but this is often challenging to achieve in complex Non-Line-of-Sight (NLoS) environments. This paper proposes a fusion positioning method that can achieve stable and no hop points by adjusting parameters and predicting trends, even with a one-sided lack of fusion data. The method combines acoustic signal and Inertial Measurement Unit (IMU) data, exploiting their respective advantages. The fusion is achieved using the Kalman filter and Bayesian parameter estimation is performed for tuning IMU parameters and predicting motion trends. The proposed method overcomes the problem of fusion failure caused by long-term unilateral data loss in traditional fusion positioning. The positioning trajectory and error distribution analysis show that the proposed method performs optimally in severe NLoS experiments.

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A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

Wang

Zhang

et al. 2023

ACM Trans. Internet Technol.

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Wi-Fi-Based Indoor Patient Location Identifier for COVID-19

Cited by 1 publication

References 8 publications

A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment

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