Modeling and discovering human behavior from smartphone sensing life-log data for identification purpose

Rischan Mafrur, I Gde Dharma Nugraha, Deokjai Choi

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

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

Original languageEnglish
Article number31
JournalHuman-centric Computing and Information Sciences
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • Behavior mining
  • Human behavior
  • Modeling
  • Smartphone sensing
  • User personal data

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