Understand Human Behaviours with IoT Sensors: The Seen and the Unseen

PhD Thesis Proposal Defence


Title: "Understand Human Behaviours with IoT Sensors: The Seen and the Unseen"

By

Mr. Wentao XIE


Abstract:

This thesis explores the design of Internet of Things (IoT) sensing systems to 
understand human behaviours, with a focus on two typical tasks: smart eyewear 
interaction and pulmonary health monitoring. The objectives of this thesis are 
three-fold: (i) to study and showcase new sensing principles to capture various 
human behaviours, (ii) to design innovative algorithms and techniques to 
analyse the interaction gestures and health indicators, and (iii) to 
demonstrate various applications where interaction and healthcare tasks can be 
enabled with IoT sensors. These objectives are fulfilled with four attempts, 
where each attempt presents the complete technical design, system 
implementation, application showcase and empirical study development cycle. The 
first two attempts propose novel eyewear interaction methods enabled by facial 
and natural rim gestures, which are achieved with miniature ultrasonic and 
vibrational sensors. The last two attempts present new pulmonary function 
monitoring systems using ubiquitous speakers and earphones.


Date:                   Tuesday, 9 April 2024

Time:                   2:00pm - 4:00pm

Venue:                  Room 5501
                        Lifts 25/26

Committee Members:      Prof. Qian Zhang (Supervisor)
                        Prof. Jin Zhang (Co-supervisor, SUSTech)
                        Prof. Mo Li (Chairperson)
                        Prof. Gary Chan
                        Prof. Song Guo