[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …
computer interaction, which shows its strength in its convenience and cost-efficiency …
Overview of deep learning-based CSI feedback in massive MIMO systems
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …
[PDF][PDF] Machine Learning-Assisted Sensing Techniques for Integrated Communications and Sensing in WLANs: Current Status and Future Directions.
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 …
Semantic communications for wireless sensing: RIS-aided encoding and self-supervised decoding
Semantic communications can reduce the resource consumption by transmitting task-related
semantic information extracted from source messages. However, when the source …
semantic information extracted from source messages. However, when the source …
SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …
CAUTION: A Robust WiFi-based human authentication system via few-shot open-set recognition
Existing channel-state information (CSI)-based human authentication systems in the
literature require a large amount of CSI data to train deep neural network (DNN) models and …
literature require a large amount of CSI data to train deep neural network (DNN) models and …
GaitFi: Robust device-free human identification via WiFi and vision multimodal learning
As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …
distance by passive sensors without subject cooperation, which plays an essential role in …
Autofi: Toward automatic wi-fi human sensing via geometric self-supervised learning
Wi-Fi sensing technology has shown superiority in smart homes among various sensors for
its cost-effective and privacy-preserving merits. It is empowered by channel state information …
its cost-effective and privacy-preserving merits. It is empowered by channel state information …
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 …
SecureSense: Defending adversarial attack for secure device-free human activity recognition
Deep neural networks have empowered accurate device-free human activity recognition,
which has wide applications. Deep models can extract robust features from various sensors …
which has wide applications. Deep models can extract robust features from various sensors …