Singapore is ageing rapidly. In recent years, many initiatives have been launched to provide care for the ageing society, one of which is community-based care services to facilitate ageing-in- place.
A successful community eldercare model may require the synergy of various stakeholders; ranging from caregivers, healthcare providers, technology providers to policy makers for care management of older people living in the community.
In this extended abstract, we discuss how a sensor-based elderly monitoring system could enable
community caregivers to identify elderly in need. By applying AI methods on data gathered through:
(i) non-obtrusive in-home sensors,
(ii) subjective surveys and
(iii) attendance in social activities
to identified elderly who are in need of interventions to improve their social and emotional well being.
The findings of this study will provide useful recommendations for value-added elder care planning.
Mingrui Huang, Cheryl Koh, Nadee Goonawardene, Hwee-Pink Tan from SMU-TCS iCity Lab, Singapore Management University
Justina Teo, Lions Befrienders Service Association (Singapore)
Community Lead | AI Singapore