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.