Name
Abstract | ||
|---|---|---|
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 August 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3092305.3092311 | WPA@MobiSys |
Field | DocType | ISBN |
Survey data collection,Gerontology,Monitoring system,Psychology,Mental health,Mental well-being,Recall,Independent living,Loneliness,Government | Conference | 978-1-4503-4958-1 |
Citations | PageRank | References |
1 | 0.40 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinh Huynh | 1 | 5 | 2.18 |
| Hwee Pink Tan | 2 | 252 | 24.39 |
| Youngki Lee | 3 | 832 | 70.33 |