Context-Aware Collector

Mobile phones have grown both in popularity as power of processing during the last years. Current trends in mobile devices are evolving into high speed networks and multiple sensors, thus, facilitating the analysis of user environments and processing. Such analysis is essential to comprehend user behavior and to provide refined adaptation. This paper differs from previous studies by studying thoroughly the behavior of users. It describes an analysis of input data from different sensors in order to obtain and comprehend the routine and user preferences, the analyzed sensors were: location, call history, calendar and applications used. Information of 8 users was analyzed over a period of 15 days. This paper combines information from different contexts and therefore infers more detailed usage profiles successfully.