AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

Older care recipients living at home increasingly rely on support from informal caregivers. As informal caregivers often combine these caregiving tasks with other tasks, such as paid work, they are at risk of becoming overloaded. To decrease informal caregiver burden, different forms of support are available …