Fall detection system via smart phone and send people location

Due to the falling birth rate and industrial societies, the number of people over 65 is increasing and in 2050 almost 16% of the population will be elder. Falling in the elderly is the second leading cause of severe injury, leading to death. The aim of this study is to provide a high-speed method for diagnosing and treating the elderly. We have proposed a method to use the smartphone and the acceleration signal to detection falling. The proposed system has been able to detect a fall using the Smartphone sensor and report the location of the person. The results show that with the mean, skewness, and kurtosis features and support vector machine classifier, the accuracy of fall detection is 96.33%. The important point is the calculation time, which is less than 1 second.