The daily routine of a student has a direct impact on her performance. Understanding the routine of students in the campus can help students as well as universities. We propose a smartphone based sensing mechanism to understand the daily routine of students inside a campus. Unlike survey-based methods of understanding trends among students, we explore the ability of smartphones to infer the routine of students, without any manual input from the user.
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