Activities recognition and worker profiling in the intelligent office environment using a fuzzy finite state machine

Langensiepen, C. ORCID: 0000-0002-0165-9048, Lotfi, A. ORCID: 0000-0002-5139-6565 and Puteh, S., 2014. Activities recognition and worker profiling in the intelligent office environment using a fuzzy finite state machine. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing, China, 6.7.2014. IEEE, pp. 873-880. ISBN 9781479920730

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Abstract

Analysis of the office workers’ activities of daily working in an intelligent office environment can be used to optimize energy consumption and also office workers’ comfort. To achieve this end, it is essential to recognise office workers’ activities including short breaks, meetings and non-computer activities to allow an optimum control strategy to be implemented. In this paper, fuzzy finite state machines are used to model an office worker’s behaviour. The model will incorporate sensory data collected from the environment as the input and some pre-defined fuzzy states are used to develop the model. Experimental results are presented to illustrate the effectiveness of this approach. The activity models of different individual workers as inferred from the sensory devices can be distinguished. However, further investigation is required to create a more complete model.

Item Type:	Chapter in book
Creators:	Langensiepen, C., Lotfi, A. and Puteh, S.
Publisher:	IEEE
Date:	2014
ISBN:	9781479920730
Identifiers:	Number Type 10.1109/FUZZ-IEEE.2014.6891825 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 09:57
Last Modified:	09 Jun 2017 13:15
URI:	https://irep.ntu.ac.uk/id/eprint/5453

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