WISe: Wireless Intelligent Sensing for Human-Centric Applications
Alex Qi, Muxin Ma, Yunlong Luo, Guillaume Fernandes, Ge Shi, Jun Fan, Yihong Qi, Jianhua Ma
Abstract
Contactless sensors based on electromagnet-wave (EM-wave) have great potential for human centric applications due to advantages, such as privacy, convenience, and affordability. Traditional researches usually focus on specific topics, such as hardware designs or software algorithms, however, a practical wireless sensing system covers multiple domains and technologies. Hence, a systematic framework of Wireless Intelligent Sensing (WISe) is proposed, for the first time, and a low-noise EM-wave system architecture is presented in this article. The proposed framework and architecture make use of intelligent resources to minimize the noise in hardware and digital signal processing for various human-centric practical applications. WISe empowered healthcare applications and in-vehicle safety monitoring are shown to demonstrate the effectiveness of the proposed framework and architecture.