An Analysis Method of Traveling-Time Patterns Between Rooms from Entry and Exit Data of Office Workers
Autor: | Miwa Sakata, Nobuhiro Inuzuka, Seidai Kojima, Atsuko Mutoh, Koichi Moriyama, Hayato Ishigure |
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Rok vydání: | 2018 |
Předmět: |
050210 logistics & transportation
Computer science business.industry 05 social sciences 020207 software engineering 02 engineering and technology computer.software_genre Office workers Set (abstract data type) Time pattern 0502 economics and business Management system 0202 electrical engineering electronic engineering information engineering Data mining Smart card business Cluster analysis human activities computer Analysis method |
Zdroj: | GCCE |
DOI: | 10.1109/gcce.2018.8574752 |
Popis: | 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. |
Databáze: | OpenAIRE |
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