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 …
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 …
Efficient Wi-Fi-based human activity recognition using adaptive antenna elimination
Recently, Wi-Fi-based human activity recognition using channel state information (CSI)
signals has gained popularity due to its potential features, such as passive sensing and …
signals has gained popularity due to its potential features, such as passive sensing and …
mmMesh: Towards 3D real-time dynamic human mesh construction using millimeter-wave
In this paper, we present mmMesh, the first real-time 3D human mesh estimation system
using commercial portable millimeter-wave devices. mmMesh is built upon a novel deep …
using commercial portable millimeter-wave devices. mmMesh is built upon a novel deep …
Metafi++: Wifi-enabled transformer-based human pose estimation for metaverse avatar simulation
In the metaverse, digital avatar plays an important role in representing human beings for
various interaction with virtual objects and environments, which puts a high demand on …
various interaction with virtual objects and environments, which puts a high demand on …
Make skeleton-based action recognition model smaller, faster and better
Although skeleton-based action recognition has achieved great success in recent years,
most of the existing methods may suffer from a large model size and slow execution speed …
most of the existing methods may suffer from a large model size and slow execution speed …
2D Human pose estimation: A survey
Human pose estimation aims at localizing human anatomical keypoints or body parts in the
input data (eg, images, videos, or signals). It forms a crucial component in enabling …
input data (eg, images, videos, or signals). It forms a crucial component in enabling …
CSITime: Privacy-preserving human activity recognition using WiFi channel state information
Human activity recognition (HAR) is an important task in many applications such as smart
homes, sports analysis, healthcare services, etc. Popular modalities for human activity …
homes, sports analysis, healthcare services, etc. Popular modalities for human activity …
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 …
Towards generalized mmwave-based human pose estimation through signal augmentation
The unprecedented advance of wireless human sensing is enabled by the proliferation of
the deep learning techniques, which, however, rely heavily on the completeness and …
the deep learning techniques, which, however, rely heavily on the completeness and …