Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Vision and inertial sensing fusion for human action recognition: A review

S Majumder, N Kehtarnavaz - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Human action recognition is used in many applications such as video surveillance, human-
computer interaction, assistive living, and gaming. Many papers have appeared in the …

Vehicle localization during GPS outages with extended Kalman filter and deep learning

J Liu, G Guo - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Integration of microelectromechanical system-based inertial navigation system (MEMS-INS)
and global positioning system (GPS) is a promising approach to vehicle localization …

Random error reduction algorithms for MEMS inertial sensor accuracy improvement—a review

S Han, Z Meng, O Omisore, T Akinyemi, Y Yan - Micromachines, 2020 - mdpi.com
Research and industrial studies have indicated that small size, low cost, high precision, and
ease of integration are vital features that characterize microelectromechanical systems …

System noise variance matrix adaptive Kalman filter method for AUV INS/DVL navigation system

Q Wang, K Liu, Z Cao - Ocean Engineering, 2023 - Elsevier
Abstract The Inertial Navigation System (INS)/Doppler Velocity Log (DVL) navigation system
is capable of locating the Autonomous Underwater Vehicle (AUV) in real-time. However …

Robust state of charge estimation of LiFePO4 batteries based on Sage_Husa adaptive Kalman filter and dynamic neural network

M Wei, M Ye, C Zhang, G Lian, B Xia, Q Wang - Electrochimica Acta, 2024 - Elsevier
Robust and accurate state of charge estimation for LiFePO 4 batteries has tremendous
significance, since they are constituted the basis of reliable operation for battery …

An ARMA-based digital twin for MEMS gyroscope drift dynamics modeling and real-time compensation

YH Tu, CC Peng - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The applications of Inertial Measurement Unit (IMU) based on Micro Electro Mechanical
System (MEMS) are widely used because of its low-cost, small volume and low energy …

Benefits of IMU-based wearables in sports medicine: Narrative review

JS Arlotti, WO Carroll, Y Afifi… - … of Kinesiology and …, 2022 - journals.aiac.org.au
Background: Inertial Measurement Unit (IMU) based wearables have been the focus of
many recent sports medicine research efforts. Objective: The goal of this narrative-driven …

Hammerstein-Wiener nonlinear system identification by using honey badger algorithm hybridized Sage-Husa adaptive Kalman filter with real-time applications

L Janjanam, SK Saha, R Kar, D Mandal - AEU-international Journal of …, 2022 - Elsevier
This paper introduces a hybrid Sage-Husa adaptive Kalman filter (SHAKF) with a
metaheuristic algorithm to estimate the parameters of the Hammerstein-Wiener (HW) model …

Adaptive extended Kalman filter based dynamic equivalent method of PMSG wind farm cluster

T Wang, S Huang, M Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to reduce the dimension of wind farm model and improve the simulation efficiency
under the premise of ensuring the accuracy, this article proposes a dynamic equivalent …