E-FallD: A fall detection system using android-based smartphone
Yabo Cao, Yujiu Yang, Wenhuang Liu · 2012
With the rapid growth of the population of the elderly in the world, many countries in the world have been in the aging society. Falls are a major public health concern and one of the greatest obstacles to independent living for elder adults in terms of social services. In this paper, we present a fall detection system derived from some motion sensor via an android-based smart phone in which we utilize adaptive threshold algorithm for fall detection. Furthermore, we implement this system called E-FallD on the HTC G8 mobile phone. As demonstrated by the experimental results, E-FallD has a good detection performance and it is an efficient and smart application. In the mean time, using adaptive threshold algorithm could increase sensitivity dramatically. In a word ,our system provides a realizable, effective and portal solution to fall detection for users.