A survey on fusion-based indoor positioning

X Guo, N Ansari, F Hu, Y Shao… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure

J Qi, P Yang, L Newcombe, X Peng, Y Yang, Z Zhao - Information Fusion, 2020 - Elsevier
Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Measure (PARM) has …

CSI-based fingerprinting for indoor localization: A deep learning approach

X Wang, L Gao, S Mao, S Pandey - IEEE transactions on …, 2016 - ieeexplore.ieee.org
With the fast-growing demand of location-based services in indoor environments, indoor
positioning based on fingerprinting has attracted significant interest due to its high accuracy …

DeepFi: Deep learning for indoor fingerprinting using channel state information

X Wang, L Gao, S Mao, S Pandey - 2015 IEEE wireless …, 2015 - ieeexplore.ieee.org
With the fast growing demand of location-based services in indoor environments, indoor
positioning based on fingerprinting has attracted a lot of interest due to its high accuracy. In …

TensorBeat: Tensor decomposition for monitoring multiperson breathing beats with commodity WiFi

X Wang, C Yang, S Mao - ACM Transactions on Intelligent Systems and …, 2017 - dl.acm.org
Breathing signal monitoring can provide important clues for health problems. Compared to
existing techniques that require wearable devices and special equipment, a more desirable …

WiFi fingerprinting indoor localization using local feature-based deep LSTM

Z Chen, H Zou, JF Yang, H Jiang, L Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Indoor localization has attracted more and more attention because of its importance in many
applications. One of the most popular techniques for indoor localization is the received …

Robust WiFi localization by fusing derivative fingerprints of RSS and multiple classifiers

X Guo, NR Elikplim, N Ansari, L Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
It is notable that localization accuracy using received signal strength (RSS) fingerprints
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …

A robust indoor positioning system based on the procrustes analysis and weighted extreme learning machine

H Zou, B Huang, X Lu, H Jiang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Indoor positioning system (IPS) has become one of the most attractive research fields due to
the increasing demands on location-based services (LBSs) in indoor environments. Various …

Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach

T Koike-Akino, P Wang, M Pajovic, H Sun… - IEEE Access, 2020 - ieeexplore.ieee.org
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

A survey of calibration-free indoor positioning systems

AKMM Hossain, WS Soh - Computer Communications, 2015 - Elsevier
Last decade observed a significant research effort directed towards indoor localization
utilizing location fingerprinting techniques. Fingerprinting solutions generally require a pre …