An enhanced fall detection system for elderly person monitoring using consumer home networks

摘要: Various fall-detection solutions have been previously proposed to create a reliable surveillance system for elderly people with high requirements on accuracy, sensitivity and specificity. In this paper, an enhanced fall detection is person monitoring that based smart sensors worn the body operating through consumer home networks. With treble thresholds, accidental falls can be detected in healthcare environment. By utilizing information gathered from accelerometer, cardiotachometer sensors, impacts of logged distinguished normal daily activities. The has deployed prototype as detailed paper. From test group 30 healthy participants, it was found achieve accuracy 97.5%, while specificity are 96.8% 98.1% respectively. Therefore, reliably developed into product use device low false positive rate.