An overview on IEEE 802.11 bf: WLAN sensing
With recent advancements, the wireless local area network (WLAN) or wireless fidelity (Wi-
Fi) technology has been successfully utilized to realize sensing functionalities such as …
Fi) technology has been successfully utilized to realize sensing functionalities such as …
Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
Seamless connectivity: The power of integrating power line and wireless communications
MV Ribeiro, ML Filomeno… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Aimed at inspiring researchers and practitioners, this paper presents comprehensive and
multidimensional discussions of the potential and benefits of integrating power line and …
multidimensional discussions of the potential and benefits of integrating power line and …
Variance-constrained local–global modeling for device-free localization under uncertainties
J Zhang, Y Li, Q Li, W Xiao - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
In recent years, WiFi-based device-free localization (DFL) has attracted attentions due to the
rapid development of location-based applications. The localization performance of data …
rapid development of location-based applications. The localization performance of data …
Positioning using wireless networks: Applications, recent progress and future challenges
Positioning has recently received considerable attention as a key enabler in emerging
applications such as extended reality, unmanned aerial vehicles and smart environments …
applications such as extended reality, unmanned aerial vehicles and smart environments …
Sharing low rank conformer weights for tiny always-on ambient speech recognition models
Continued improvements in machine learning techniques offer exciting new opportunities
through the use of larger models and larger training datasets. However, there is a growing …
through the use of larger models and larger training datasets. However, there is a growing …
[HTML][HTML] Occupant counting model development for urban building energy modeling using commercial off-the-shelf Wi-Fi sensing technology
SS Abolhassani, A Zandifar, N Ghourchian… - Building and …, 2024 - Elsevier
Abstract Urban Building Energy Models (UBEMs) are vital for estimating building energy use
and related greenhouse gas emissions. However, their reliability needs boosting by using …
and related greenhouse gas emissions. However, their reliability needs boosting by using …
Channel state information based device free wireless sensing for IoT devices employing TinyML
The channel state information (CSI) of the sub-carriers employed in orthogonal frequency
division multiplexing (OFDM) systems has been employed traditionally for channel …
division multiplexing (OFDM) systems has been employed traditionally for channel …
Classifying Participant Standing and Sitting Postures Using Channel State Information
Recently, channel state information (CSI) has been identified as beneficial in a wide range
of applications, ranging from human activity recognition (HAR) to patient monitoring …
of applications, ranging from human activity recognition (HAR) to patient monitoring …
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in
a non-intrusive and device-free manner, benefiting applications as diverse as smart homes …
a non-intrusive and device-free manner, benefiting applications as diverse as smart homes …