Perceiving Human/Object Spatial Context with Passive RFIDs

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis Defence


Title: "Perceiving Human/Object Spatial Context with Passive RFIDs"

By

Mr. Longfei SHANGGUAN


Abstract

Perceiving human/object spatial context is of great importance for a range of 
pervasive applications, attracting many research efforts in the past decades. 
Despite academic success in WiFi or Blue-tooth based spatial context sensing 
techniques, there are limited advances in RFID-based solutions. This thesis 
exploits the potential of passive RFID tags for human/object spatial context 
sensing, with a focus on monitoring the moving pattern of human body and 
perceiving the relative location of objects. It shows how RF signal features 
(e.g., RSSI and phase readings) vary with the movement of passive tags attached 
on human bodies and objects. Based on the spatial-temporal correlation model 
drawn in this RF signal feature analysis, body movement patterns in both 
free-weight training and physical store shopping are investigated. Besides, the 
relative location of objects in baggage sorting system is exploited as well. 
All of proposed solutions are finally evaluated with real-world measurements.


Date:			Wednesday, 10 June 2015

Time:			4:00pm - 6:00pm

Venue:			Room 3584
 			Lifts 27/28

Chairman:		Prof. Guanghao Chen (CIVL)

Committee Members:	Prof. Ke Yi (Supervisor)
 			Prof. Lei Chen
 			Prof. Qian Zhang
 			Prof. Yang Xiang (MATH)
 			Prof. Jianping Wang (CityU)


**** ALL are Welcome ****