Today, personal data is becoming a new economic asset. Personal data which generated\nfrom our smartphone can be used for many purposes such as identification,\nrecommendation system, and etc. The purposes of our research are to discover human\nbehavior based on their smartphone life log data and to build behavior model which\ncan be used for human identification. In this research, we have collected user personal\ndata from 37 students for 2 months which consist of 19 kinds of data sensors. There is\nstill no ideal platform that can collects user personal data continuously and without\ndata loss. The data which collected from user�s smartphone have various situations\nsuch as the data came from multiple sensors and multiple source information which\nsometimes one or more data does not available. We have developed a new approach\nto building human behavior model which can deal with those situations. Furthermore,\nwe evaluate our approach and present the details in this paper.
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