2014 · 86 citations · 10 references
EngineeringHealth InformaticsAssistive TechnologyMobile ComputingSensorsFall DetectionFall RiskMobile Health ApplicationsMobile SensingMotion SensorsWearable Health TechnologiesAccelerometer-based Fall DetectionFall Detection SystemsFall RecognitionGyroscope SensorsGyroscope-based Fall DetectionInertial Measurement Unit Based Fall DetectionScenariosWearable Fall Detection Systems
Most of people likes living independently at home. Some activity in our daily life is prone to have some accidents, such as falls. Falls can make people in fatal conditions, even death. A prototype of fall detection system using accelerometer and gyroscope based on smartphone is presented in this paper. Accelerometer and gyroscope sensors are embedded in smartphone to get the result of fall detection more accurately. Automatic call as an alert will be sent to family members if someone using this application in fatal condition and need some help. This research also can distinguish condition of people between falls and activity daily living. Several scenarios were used in these experiments. The result showed that the proposed system could successfully record level of accuracy of the fall detection system till 93.3% in activity daily living and error detected of fall was 2%.
10
A survey of mobile phone sensing
Nicholas D. Lane, Emiliano Miluzzo, Hong Lu et al. · IEEE Communications Magazine · 2010 · 2.3K citations
A proposal for the classification and evaluation of fall detectors
Norbert Noury, Pierre Rumeau, Alan Bourke et al. · IRBM · 2008 · 286 citations
PerFallD: A pervasive fall detection system using mobile phones
Jiangpeng Dai, Xiaole Bai, Zhimin Yang et al. · 2010 · 236 citations