2016 · 14 citations · 7 references
ComputingHealth InformaticsAssistive TechnologyMobile ComputingSensorsFall DetectionMobile Human-computer InteractionMobile SensingSmart SensorsTelehealth SystemsWearable Health TechnologiesActivity AnalysisActivity MonitoringElderly PopulationFall Detection DevicesFall Detection SystemsFall Event DetectionWearable Fall Detection SystemsWearable Health Monitoring
The constant increase of the elderly population and the need to prolong the independent live, is driving the development of telecare systems. Two of the key factors of such systems are their simplicity of usage and minimal obtrusiveness. Therefore, in this paper we propose a practical, intuitive and simple smartwatch-based telecare system. The system has several functionalities, including: automatic fall detection, activity analysis, SOS red button, location information, and reminders. The proposed system can work indoors as well as outdoors, and is completely independent, i.e., it requires only a SIM card to function and does not depend on base stations, internet connection, Bluetooth and similar. The evaluation of the fall detection algorithm showed that it detects all of the fast falls and minimizes the false positives, achieving 85% accuracy.
7
Susan M. Friedman, Beatriz Muñoz, Sheila K. West et al. · Journal of the American Geriatrics Society · 2002 · 1.1K citations
How dangerous are falls in old people at home?
Deidre Wild, U. S. Nayak, Bernard Isaacs · BMJ · 1981 · 342 citations · Full text