Elder abnormal activity detection by data mining

This paper proposes a method to detect abnormal event in solitary elder´s daily life by mining the related data gained by sensors. It is analyzed that the relationship between elder´s activity time distribution and the activity, and then the association rules of elder´s actions is obtained. It can help to detection abnormal activity and provide timely and appropriate services to the solitary elder.