Towards Unobtrusive Mental Well-Being Monitoring for Independent-Living Elderly
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Date:
Time:
Venue:
| | June 15, 2017, Thursday
10:00am - 10:30am
Meeting Room 4.4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
We look forward to seeing you at this research seminar. ![]()
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About the Talk
It is essential to proactively detect mental health problems such as loneliness and depression in the independently-living elderly for timely intervention by caregivers. In this paper, we introduce an unobtrusive sensor-enabled monitoring system that has been deployed to 50 government housing flats with the independent-living elderly for two years. Then, we also present our initial findings from the 6-month sensor data between November 2015 and April 2016 as well as the survey data to measure the subjective well-being indicator. Our study showed the promising results that “room-level movements within a house” and “going out” behavior captured by our simple sensor system has a potential to detect the cases of severe loneliness and depression with the precision of 10/16 and recall of 10/12.
This is a pre-conference talk for 4th International Workshop on Physical Analytics (WPA-17).
About the Speaker
HUYNH NGUYEN PHAN Sinh is a third year PhD student in the School of Information System, Singapore Management University. He is jointly supervised by Assistant Professor Youngki Lee and Associate Professor Rajesh Balan.His research interest areas include mobile sensing, unobtrusive sensor systems for healthcare and wellbeing applications.
