Anomaly Detection Technologies for Monitoring Dementia-Related Behaviors at Home: A Narrative Literature Review (Preprint)
Joy Lai,
Bing Ye,
Alex Mihailidis
Abstract:BACKGROUND
Anomaly detection technologies have emerged as valuable tools for monitoring people living with dementia (PLwD) in home environments. These technologies address critical behaviors such as wandering, sleep disturbances, and agitation, which affect both patients and caregivers. Effective monitoring improves safety, supports early diagnosis, and alleviates caregiver stress. However, challenges such as sensor reliability, data accuracy, and privacy concerns hinder optimal use.
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