A survey on deep learning for human activity recognition
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 …
home. In this study, we provide a comprehensive survey on recent advances and challenges …
Indoor localization improved by spatial context—A survey
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 …
other location-based services. There is currently a wealth of relevant literature on indoor …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
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 …
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
Due to the complicated production mechanism in multivariate industrial processes, different
dynamic features of variables raise challenges to traditional data-driven process monitoring …
dynamic features of variables raise challenges to traditional data-driven process monitoring …
Toward accurate position estimation using learning to prediction algorithm in indoor navigation
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 …
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 …
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 …
(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
Smartphone camera or inertial measurement unit (IMU) sensor-based systems can be
independently used to provide accurate indoor positioning results. However, the accuracy of …
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
Autonomous underwater vehicles (AUV) perform various applications such as seafloor
mapping and underwater structure health monitoring. Commonly, an inertial navigation …
mapping and underwater structure health monitoring. Commonly, an inertial navigation …