[PDF][PDF] Machine Learning-Assisted Sensing Techniques for Integrated Communications and Sensing in WLANs: Current Status and Future Directions.
S Shao, M Fan, C Yu, Y Li, X Xu, H Wang - Progress In Electromagnetics …, 2022 - jpier.org
Sensing is a key basis for building an intelligent environment. Using channel state
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …
Learning-based URLLC-aware task offloading for internet of health things
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …
WiFi vision: Sensing, recognition, and detection with commodity MIMO-OFDM WiFi
Indoor human sensing, recognition, and detection, as key enablers of building smart
environments, such as smart home, smart retail, and smart museum, have gained …
environments, such as smart home, smart retail, and smart museum, have gained …
Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach
Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …
information (CSI) from the physical layer or coarse-grained received signal strength indicator …
WiGRUNT: WiFi-enabled gesture recognition using dual-attention network
Gestures constitute an important form of nonverbal communication where bodily actions are
used for delivering messages alone or in parallel with spoken words. Recently, there exists …
used for delivering messages alone or in parallel with spoken words. Recently, there exists …
Multiple wifi access points co-localization through joint aoa estimation
Indoor localization is a fundamental task to many real-world applications, which however
remains unresolved, especially with commodity WiFi Access Points (APs). In this paper, we …
remains unresolved, especially with commodity WiFi Access Points (APs). In this paper, we …
Device-free single-user activity recognition using diversified deep ensemble learning
WiFi-based human activity recognition (HAR) aims to recognize human activities in an off-
the-shelf manner that only relies on the commercial Wi-Fi devices already installed in …
the-shelf manner that only relies on the commercial Wi-Fi devices already installed in …
WiFE: WiFi and vision based unobtrusive emotion recognition via gesture and facial expression
Emotion plays a critical role in making the computer more human-like. As the first and most
essential step, emotion recognition emerges recently as a hot but relatively nascent topic, ie …
essential step, emotion recognition emerges recently as a hot but relatively nascent topic, ie …
Robust CSI-based human activity recognition with augment few shot learning
Y Wang, L Yao, Y Wang, Y Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
With the development of Internet of Things technology, Channel State Information (CSI)
based human activity recognition (HAR) plays an important role in Human-Computer …
based human activity recognition (HAR) plays an important role in Human-Computer …
Quantum transfer learning for Wi-Fi sensing
Beyond data communications, commercial-off-the-shelf Wi-Fi devices can be used to
monitor human activities, track device locomotion, and sense the ambient environment. In …
monitor human activities, track device locomotion, and sense the ambient environment. In …