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 …
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 …
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 …
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 …
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 …
Human activity recognition can benefit various applications including healthcare services and context awareness. Since human actions will influence WiFi signals, which can be …
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 …
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 …
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 …