A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Indoor localization improved by spatial context—A survey

F Gu, X Hu, M Ramezani, D Acharya… - ACM Computing …, 2019 - dl.acm.org
Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …

Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Applied AI in instrumentation and measurement: The deep learning revolution

M Khanafer, S Shirmohammadi - IEEE Instrumentation & …, 2020 - ieeexplore.ieee.org
In the last few years, hardly a day goes by that we do not hear about the latest
advancements and improvements that Artificial Intelligence (AI) has brought to a wide …

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network

W Deng, Y Li, K Huang, D Wu, C Yang, W Gui - Neural Networks, 2023 - Elsevier
Due to the complicated production mechanism in multivariate industrial processes, different
dynamic features of variables raise challenges to traditional data-driven process monitoring …

Toward accurate position estimation using learning to prediction algorithm in indoor navigation

F Jamil, N Iqbal, S Ahmad, DH Kim - Sensors, 2020 - mdpi.com
Internet of Things is advancing, and the augmented role of smart navigation in automating
processes is at its vanguard. Smart navigation and location tracking systems are finding …

Deep learning methods for fingerprint-based indoor positioning: A review

F Alhomayani, MH Mahoor - Journal of Location Based Services, 2020 - Taylor & Francis
Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

A robust step detection and stride length estimation for pedestrian dead reckoning using a smartphone

Y Yao, L Pan, W Fen, X Xu, X Liang… - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As an infrastructure-free positioning and navigation method, pedestrian dead reckoning
(PDR) is still a research hotspot in the field of indoor localization. Step detection (SD) and …

Hybrid indoor localization using IMU sensors and smartphone camera

A Poulose, DS Han - Sensors, 2019 - mdpi.com
Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …

[HTML][HTML] BeamsNet: A data-driven approach enhancing Doppler velocity log measurements for autonomous underwater vehicle navigation

N Cohen, I Klein - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Autonomous underwater vehicles (AUV) perform various applications such as seafloor
mapping and underwater structure health monitoring. Commonly, an inertial navigation …