Human sensing by using radio frequency signals: A survey on occupancy and activity detection

R Shahbazian, I Trubitsyna - IEEE Access, 2023 - ieeexplore.ieee.org
Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …

Machine learning assists IoT localization: a review of current challenges and future trends

R Shahbazian, G Macrina, E Scalzo, F Guerriero - Sensors, 2023 - mdpi.com
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …

A CSI-based human activity recognition using deep learning

PF Moshiri, R Shahbazian, M Nabati, SA Ghorashi - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) has become quite popular due to advancements in Information
and Communications technologies and has revolutionized the entire research area in …

[HTML][HTML] A real-time fingerprint-based indoor positioning using deep learning and preceding states

M Nabati, SA Ghorashi - Expert Systems with Applications, 2023 - Elsevier
In fingerprint-based positioning methods, the received signal strength (RSS) vectors from
access points are measured at reference points and saved in a database. Then, this dataset …

Online spatiotemporal modeling for robust and lightweight device-free localization in nonstationary environments

J Zhang, Y Li, W **ao, Z Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in WiFi-based device-free localization (DFL) mainly focus on stationary
scenarios and ignore the environmental dynamics, hindering the large-scale implementation …

[HTML][HTML] WiFiNet: WiFi-based indoor localisation using CNNs

N Hernández, I Parra, H Corrales, R Izquierdo… - Expert Systems with …, 2021 - Elsevier
Different technologies have been proposed to provide indoor localisation: magnetic field,
Bluetooth, WiFi, etc. Among them, WiFi is the one with the highest availability and highest …

[HTML][HTML] Enhancing CSI-based human activity recognition by edge detection techniques

H Shahverdi, M Nabati, P Fard Moshiri, R Asvadi… - Information, 2023 - mdpi.com
Human Activity Recognition (HAR) has been a popular area of research in the Internet of
Things (IoT) and Human–Computer Interaction (HCI) over the past decade. The objective of …

JGPR: a computationally efficient multi-target Gaussian process regression algorithm

M Nabati, SA Ghorashi, R Shahbazian - Machine Learning, 2022 - Springer
Multi-target regression algorithms are designed to predict multiple outputs at the same time,
and allow us to take all output variables into account during the training phase. Despite the …

CSI-based human activity recognition using convolutional neural networks

PF Moshiri, M Nabati, R Shahbazian… - 2021 11th …, 2021 - ieeexplore.ieee.org
Human activity recognition (HAR) as an emerging technology can have undeniable impacts
on several applications such as health monitoring, context-aware systems, transportation …

A Review of Open Access WiFi Fingerprinting Datasets for Indoor Positioning

X Feng, KA Nguyen, Z Luo - IEEE Access, 2024 - ieeexplore.ieee.org
WiFi fingerprinting is one of the most widely used techniques for indoor positioning systems.
However, existing fingerprinting datasets came in different shapes and forms with varying …