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A Novel of Data Gathering Method for User Activity Characterisation in an Office Environment to Improve Energy Efficiency

Abstract— The research aim is to investigate different methods of profiling user activities in an office environment. This will allow optimal use of resources in future Intelligent Office Environments while still taking account of user preferences and comfort. To achieve the goal of this research, a data collection system is designed and built. This required a wireless Sensor Network to monitor a wide range of ambient conditions and user activities, and a software agent to monitor user's Personal Computer activities. Collected data from different users are gathered into a central database and converted into a meaningful format for description of the worker's Activity of Daily Working (ADW) and office environment conditions. Statistical techniques are employed to quantify a user's behaviour and extract a user profile. The individual user profile is representative of a user's preferences, consisting of user routine activities, consistency of office usage and their thermal comfort. Using the statistical it is possible to characterise different users with only a few parameters. This helps to assess the importance of those aspects within the profile. The novel contribution is the use of these techniques within the context of ADW.

Index Terms— intelligent office environment, building management system, wireless sensor network, human activity recognition

Saifullizam Puteh, S. C. Johnson Lim
Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, MALAYSIA
Ahmad Lotfi, Caroline Langensiepen
Faculty of Science and Technology, Nottingham Trentt University, UK
Rosnawati Buhari
Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, MALAYSIA

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Cite: Saifullizam Puteh, Ahmad Lotfi, Caroline Langensiepen, S. C. Johnson Lim, Rosnawati Buhari, "A Novel of Data Gathering Method for User Activity Characterisation in an Office Environment to Improve Energy Efficiency," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 812-818, Tokyo, 17-19 June, 2016.