This talk presents methods for assessing Activities of Daily Living (ADL) patterns in smart home environments using non-intrusive sensors and Wi-Fi signals. By analyzing behavioral variability, the study explores correlations with mental health status. The approach leverages data-driven analytics and visualization to refine ADL assessment, offering potential contributions to elderly care and early detection of cognitive decline.