A unified framework for guiding generative ai with wireless perception in resource constrained mobile edge networks
With the significant advancements in artificial intelligence (AI) technologies and
computational capabilities, generative AI (GAI) has become a pivotal digital content …
computational capabilities, generative AI (GAI) has become a pivotal digital content …
A survey on radar-based continuous human activity recognition
Radar-based human motion and activity recognition is currently a topic of great research
interest, as the aging population increases and older individuals prefer an independent …
interest, as the aging population increases and older individuals prefer an independent …
[HTML][HTML] Motion Tracking of Daily Living and Physical Activities in Health Care: Systematic Review From Designers' Perspective
Background: Motion tracking technologies serve as crucial links between physical activities
and health care insights, facilitating data acquisition essential for analyzing and intervening …
and health care insights, facilitating data acquisition essential for analyzing and intervening …
TFSemantic: A Time–Frequency Semantic GAN Framework for Imbalanced Classification Using Radio Signals
Recently, wireless sensing techniques have been widely used for Internet of Things (IoT)
applications. Unlike traditional device-based sensing, wireless sensing is contactless …
applications. Unlike traditional device-based sensing, wireless sensing is contactless …
Rf-cm: Cross-modal framework for rf-enabled few-shot human activity recognition
Radio-Frequency (RF) based human activity recognition (HAR) enables many attractive
applications such as smart home, health monitoring, and virtual reality (VR). Among multiple …
applications such as smart home, health monitoring, and virtual reality (VR). Among multiple …
Contactless wheat foreign material monitoring and localization with passive RFID tag arrays
In the early stage of harvesting, transportation, and storage, the grain could be mingled with
clods from the field, metal pieces from aging machines, and other objects of foreign material …
clods from the field, metal pieces from aging machines, and other objects of foreign material …
Functional Data Analysis Assisted Cross-Domain Wi-Fi Sensing Using Few-Shot Learning
Recent years have witnessed rapid development of Wi-Fi sensing applications. However,
the domain shift problem is still an open problem. Variations in environment, time, and …
the domain shift problem is still an open problem. Variations in environment, time, and …
AIGC for wireless data: The case of RFID-based human activity recognition
Although great advances have been made in machine learning (ML) based wireless
communications and networking, the performance of most ML-based schemes is heavily …
communications and networking, the performance of most ML-based schemes is heavily …
AIGC for RF-Based Human Activity Sensing
Radio Frequency (RF) sensing has been considered as an effective approach to human
perception of non-intrusive and high-privacy scenarios. However, the existing wireless …
perception of non-intrusive and high-privacy scenarios. However, the existing wireless …
Toward Robust and Effective Behavior Based User Authentication With Off-the-shelf Wi-Fi
Behavior-based Wi-Fi user authentication has gained popularity in user-centered smart
systems. However, its wide adoption has been hindered by certain critical issues, including …
systems. However, its wide adoption has been hindered by certain critical issues, including …