Implementation of safety alert system for elderly people using multi-sensors

The fall-detection systems are used to create a reliable surveillance system for elderly people. In this paper an enhanced fall detection system with higher accuracy, sensitivity and specificity is proposed for elderly person monitoring. It is based on smart sensors that are worn on the body and operating through consumer home networks. With treble thresholds, accidental falls can be detected in the home healthcare environment. By utilizing information gathered from an accelerometer, cardiotachometer and smart sensors, the impacts of falls can be logged and distinguished from normal daily activities.