A Cognitive IoT Monitoring and Support System for Elderly Care

Ubiquitous computing and the Internet of Things (IoT) are enabling the possibility to provide remote health-care services through networks of environmental and personalized sensors. We present an e-health system, which collects real-life sensor data through motion, door and pressure sensors installed at elderly households. Daily activity and health status are extracted from raw sensor signals. We present different ways to detect abnormal behaviors, based on which personalized health-care services can be provided. Such systems minimize user input and interaction, thus could offer a long-term practical service.