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PhD Dissertation Proposal by TAN Yi Zhen | Scalable Passive Sensing System for Loneliness Detection

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Scalable Passive Sensing System for Loneliness Detection

 

TAN Yi Zhen

PhD Candidate
School of Computing and Information Systems
Singapore Management University
 

FULL PROFILE

Research Area

Dissertation Committee

Research Advisor

Dissertation Committee Members

External Member
  • Youngki Lee, Associate Professor, Department of Computer Science and Engineering, Seoul National University
 

Date

26 July 2024 (Friday)

Time

3:30pm – 4:30pm

Venue

Meeting Room 5.1, 
Level 5
School of Computing and Information Systems 1, Singapore Management University, 80 Stamford Road Singapore 178902

Please register by 25 July 2024.

We look forward to seeing you at this research seminar.

 

ABOUT THE TALK

A significant portion of the population suffer from chronic loneliness. Loneliness has been associated with many serious mental and physical conditions, but it is not easily noticeable. Most existing solutions work with data from the smartphone or wearable which requires users' active cooperation. This dissertation proposal aims to create a system that is able to detect loneliness through mobility traces collected through connectivity to the Wi-Fi infrastructure. This method of sensing is much more passive and scalable as we collect the users' location while they connect to the Wi-Fi network as usual. We carry out two user studies over two school terms to test the feasibility of this system.

 

ABOUT THE SPEAKER

TAN Yi Zhen is a PhD candidate at the School of Computing and Information Systems, Singapore Management University. Under the supervision of Professor Rajesh Krishna BALAN, her research focuses on health sensing. She is currently working on using indoor localisation for the sensing of loneliness, investigating mobility of older adults, as well as human activity recognition with smartphone sensors. Prior to joining the PhD programme, she graduated from SMU with a bachelor’s degree in business management (Marketing and Analytics).