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Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …
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 …
achieved significant progress in the field of ubiquitous computing. Among various …
Person-in-WiFi: Fine-grained person perception using WiFi
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) …
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
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 …
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
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 …
(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
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 …
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**
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 …
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
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 …
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
Objective. Computed tomography (CT) to material property conversion dominates proton
range uncertainty, impacting the quality of proton treatment planning. Physics-based and …
range uncertainty, impacting the quality of proton treatment planning. Physics-based and …
Can WiFi estimate person pose?
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 …
classification, etc. Retracing the development of these work, we have a natural question: can …