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Human sensing by using radio frequency signals: A survey on occupancy and activity detection
Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …
energy management systems for intelligent buildings, intruder detection, e-health systems …
Machine learning assists IoT localization: a review of current challenges and future trends
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 …
enable the development of Internet of things (IoT)-based localization systems. We review …
A CSI-based human activity recognition using deep learning
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 …
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
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 …
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
Recent advances in WiFi-based device-free localization (DFL) mainly focus on stationary
scenarios and ignore the environmental dynamics, hindering the large-scale implementation …
scenarios and ignore the environmental dynamics, hindering the large-scale implementation …
[HTML][HTML] WiFiNet: WiFi-based indoor localisation using CNNs
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 …
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
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 …
Things (IoT) and Human–Computer Interaction (HCI) over the past decade. The objective of …
JGPR: a computationally efficient multi-target Gaussian process regression algorithm
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 …
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
Human activity recognition (HAR) as an emerging technology can have undeniable impacts
on several applications such as health monitoring, context-aware systems, transportation …
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 …
However, existing fingerprinting datasets came in different shapes and forms with varying …