A survey of mmWave-based human sensing: Technology, platforms and applications

J Zhang, R Xi, Y He, Y Sun, X Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

WiFi sensing with channel state information: A survey

Y Ma, G Zhou, S Wang - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

Fedhealth: A federated transfer learning framework for wearable healthcare

Y Chen, X Qin, J Wang, C Yu, W Gao - IEEE Intelligent Systems, 2020 - ieeexplore.ieee.org
With the rapid development of computing technology, wearable devices make it easy to get
access to people's health information. Smart healthcare achieves great success by training …

A survey of healthcare Internet of Things (HIoT): A clinical perspective

H Habibzadeh, K Dinesh, OR Shishvan… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

[HTML][HTML] Elderly fall detection systems: A literature survey

X Wang, J Ellul, G Azzopardi - Frontiers in Robotics and AI, 2020 - frontiersin.org
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Wireless sensing for human activity: A survey

J Liu, H Liu, Y Chen, Y Wang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

WiFi CSI based passive human activity recognition using attention based BLSTM

Z Chen, L Zhang, C Jiang, Z Cao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Human activity recognition can benefit various applications including healthcare services
and context awareness. Since human actions will influence WiFi signals, which can be …

RF-based 3D skeletons

M Zhao, Y Tian, H Zhao, MA Alsheikh, T Li… - Proceedings of the …, 2018 - dl.acm.org
This paper introduces RF-Pose3D, the first system that infers 3D human skeletons from RF
signals. It requires no sensors on the body, and works with multiple people and across walls …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

A survey on behavior recognition using WiFi channel state information

S Yousefi, H Narui, S Dayal, S Ermon… - IEEE Communications …, 2017 - ieeexplore.ieee.org
In this article, we present a survey of recent advances in passive human behavior
recognition in indoor areas using the channel state information (CSI) of commercial WiFi …