作者
Jian Liu, Hongbo Liu, Yingying Chen, Yan Wang, Chen Wang
发表日期
2019/8/12
来源
IEEE Communications Surveys & Tutorials
卷号
22
期号
3
页码范围
1629-1645
出版商
IEEE
简介
With the advancement of wireless technologies and sensing methodologies, many studies have shown the success of re-using wireless signals (e.g., WiFi) to sense human activities and thereby realize a set of emerging applications, ranging from intrusion detection, daily activity recognition, gesture recognition to vital signs monitoring and user identification involving even finer-grained motion sensing. These applications arguably can brace various domains for smart home and office environments, including safety protection, well-being monitoring/management, smart healthcare and smart-appliance interaction. The movements of the human body impact the wireless signal propagation (e.g., reflection, diffraction and scattering), which provide great opportunities to capture human motions by analyzing the received wireless signals. Researchers take the advantage of the existing wireless links among mobile/smart …
引用总数
20192020202120222023202422548699349
学术搜索中的文章
J Liu, H Liu, Y Chen, Y Wang, C Wang - IEEE Communications Surveys & Tutorials, 2019