Architecture of a Non-Intrusive IoT System for Frailty Detection in Older People

Early detection of frailty is one the main challenges in world we live in. Being aware physiologic and behavior changes can predict prevent onset mental complications for older people. By using modern technologies, get insights, which may help different pathologies. In this paper, preliminary results a novel system to detect early signs are presented. A prototype was developed tested laboratory conditions after requirements functional capabilities were defined. The advantages proposed architecture usage commercial off-the-shelf (COTS) components custom mechanisms security assure high level confidentiality integrity user-specific data. Other original elements its easy-to-use non-intrusive characteristics.