Scherf, LisaLisaScherfKirchbuchner, FlorianFlorianKirchbuchnerWilmsdorff, Julian vonJulian vonWilmsdorffFu, BiyingBiyingFuBraun, AndreasAndreasBraunKuijper, ArjanArjanKuijper2022-03-142022-03-142018https://publica.fraunhofer.de/handle/publica/40283910.1007/978-3-030-03062-9_11The development of sensor technologies in smart homes helps to increase user comfort or to create safety through the recognition of emergency situations. For example, lighting in the home can be controlled or an emergency call can be triggered if sensors hidden in the floor detect a fall of a person. It makes sense to also use these technologies regarding prevention and early detection of diseases. By detecting deviations and behavioral changes through long-term monitoring of daily life activities it is possible to identify physical or cognitive diseases. In this work, we first examine in detail the existing possibilities to recognize the activities of daily life and the capability of such a system to conclude from the given data on illnesses. Then we propose a model for the use of floor-based sensor technology to help diagnose diseases and behavioral changes by analyzing the time spent in bed as well as the walking speed of users. Finally, we show that the system can be used in a real environment.enLead Topic: Individual HealthLead Topic: Smart CityResearch Line: Human computer interaction (HCI)mental healthpersonal healthhome caresmart homeactivity monitoringActivities of daily living (ADLs)006conference paper