Towards an autonomous fall detection and alerting system on a mobile and pervasive environment

In recent years, the use of sensors on mobile devices is highly desirable. In particular, an accelerometer can be used for numerous applications such as tracking object or monitoring of the elderly. This paper presents an application tool based on an accelerometer, call SensorFall to detect and report the acceleration caused by a fall, which allows sending alerts in the form of SMS, phone call, or by location using the GPS. We have implemented and verified the SensorFall in various environments, such as a hospital or a normal daily life for the elderly, also implemented the system calibration in order to adapt better the living conditions of each person. The results show that it performs well.

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