International Journal of Soft Computing and Engineering (IJSCE)
In this paper, the authors predict two aspects of human behavior using smart phones as sensing devices. This paper introduces a method for predicting where users will go and which application they will use next by exploiting the rich contextual information from Smartphone sensors. The authors' first goal is to understand which Smartphone sensor data types are important for the two prediction tasks. Secondly, they aim at extracting user independent behavioral patterns and study how user independent behavior models can improve the predictive performance.