Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities

Y Ge, A Taha, SA Shah, K Dashtipour… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …

A survey on human behavior recognition using channel state information

Z Wang, K Jiang, Y Hou, W Dou, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …

Person-in-WiFi: Fine-grained person perception using WiFi

F Wang, S Zhou, S Panev, J Han… - Proceedings of the …, 2019 - openaccess.thecvf.com
Fine-grained person perception such as body segmentation and pose estimation has been
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …

Joint activity recognition and indoor localization with WiFi fingerprints

F Wang, J Feng, Y Zhao, X Zhang, S Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recent years have witnessed the rapid development in the research topic of WiFi sensing
that automatically senses human with commercial WiFi devices. Past work falls into two …

Deep learning for radio-based human sensing: Recent advances and future directions

I Nirmal, A Khamis, M Hassan, W Hu… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …

Dual-energy CT based mass density and relative stop** power estimation for proton therapy using physics-informed deep learning

CW Chang, Y Gao, T Wang, Y Lei… - Physics in Medicine …, 2022 - iopscience.iop.org
Proton therapy requires accurate dose calculation for treatment planning to ensure the
conformal doses are precisely delivered to the targets. The conversion of CT numbers to …

[HTML][HTML] End-to-end learned early classification of time series for in-season crop type map**

M Rußwurm, N Courty, R Emonet, S Lefèvre… - ISPRS Journal of …, 2023 - Elsevier
Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals
recorded in satellite time series data. End-to-end trained deep learning models use this time …

Timesen2crop: A million labeled samples dataset of sentinel 2 image time series for crop-type classification

G Weikmann, C Paris… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
This article presents TimeSen2Crop, a pixel-based dataset made up of more than 1 million
samples of Sentinel 2 time series (TSs) associated to 16 crop types. This dataset, publicly …

Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy

CW Chang, S Zhou, Y Gao, L Lin, T Liu… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. Computed tomography (CT) to material property conversion dominates proton
range uncertainty, impacting the quality of proton treatment planning. Physics-based and …

Can WiFi estimate person pose?

F Wang, S Panev, Z Dai, J Han, D Huang - arxiv preprint arxiv …, 2019 - arxiv.org
WiFi human sensing has achieved great progress in indoor localization, activity
classification, etc. Retracing the development of these work, we have a natural question: can …