Unobtrusive fall detection and prevention: Extending from a prototype test to a pilot trial

Rau, HenrietteGrieger, JacobMarzahl, ChristianPenndorf, PeterStaemmler, MartinGoltz, UrsulaMagnor, MarcusAppelrath, Hans-JürgenMatthies, Herbert K.Balke, Wolf-TiloWolf, Lars2018-11-062018-11-062012978-3-88579-602-2https://dl.gi.de/handle/20.500.12116/17779Fall detection based on images is rated obtrusive and costly. This paper presents an unobtrusive fall detection system, which allows a nearly invisible positioning under furniture and cost-efficient integration and scalability in retirement homes via WLAN. The system classifies events using image analysis and notifies the caregiver if an alarming event occurred. It was successfully tested in a nursing and a retirement home and refined based on the experiences made.enfall detectionfall preventioncontext-awarestandardsAALcomplex event processingpilot trialevaluationUnobtrusive fall detection and prevention: Extending from a prototype test to a pilot trialText/Conference Paper1617-5468