Intelligent Human-Centered Sensing with Wireless Signals: A Survey

PhD Qualifying Examination


Title: "Intelligent Human-Centered Sensing with Wireless Signals: A 
Survey"

by

Mr. Qingyong HU


Abstract:

Recent years have witnessed a rapid development of wireless sensing 
applications because of their non-intrusiveness, low-cost and 
pervasiveness. Multiple kinds of wireless signals have been proposed, 
among which WiFi and mmWave signals are two typical examples. WiFi is 
commonly used for communication while having potential for sensing. mmWave 
radars are emerging devices specialized for sensing. In this survey, we 
will first give a general review of different kinds of wireless signals 
and mainly discuss state-of-the-art (SOTA) human-centered applications 
with WiFi and mmWave systems. We categorize the applications into six 
classes: (i). device-based localization and tracking, (ii). device-free 
localization and tracking, (iii). Human activity recognition, (iv). Smart 
healthcare, (v). authentication and user identification and (vi).imaging. 
For each category, we Compare the system design and performance between 
WiFi-based systems and mmWave-based systems. Challenges are summarized and 
future research directions are pointed out. In the end, we will also 
introduce our ongoing program for contactless blood pressure monitoring as 
our first attempt on human-centered sensing.


Date:			Wednesday, 6 April 2022

Time:                  	4:00pm - 6:00pm

Zoom Meeting:
https://hkust.zoom.us/j/97077628159?pwd=OEFpNkNUSGtjaUlJNGVoSGtWbnFVdz09

Committee Members:	Prof. Qian Zhang (Supervisor)
 			Dr. Xiaojuan Ma (Chairperson)
 			Prof. Bo Li
 			Dr. Wei Wang


**** ALL are Welcome ****