Unobtrusive Fall Detection and Prevention: Extending From a Prototype Test to a Pilot Trial
نویسندگان
چکیده
Fall 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.
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