An Analysis Method of Traveling-Time Patterns Between Rooms from Entry and Exit Data of Office Workers
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IC card systems have become popular in recent years, and their log data are used for analyzing human behavior. In this paper, we propose a method for analyzing workers' travel-between-rooms time patterns using log data in an entry and exit management system. We express workers using features representing travel time, extract a set of workers with similar travel time patterns using clustering, and confirm the relationship between travel time patterns and workers' attributes using actual data.
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