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This paper discusses the issues associated with maintaining an office workplace that increases worker comfort while still minimising power use. We use a range of non-intrusive sensors to monitor office worker behaviour and categorise it so that predictions may be made of the likely behaviour of the office user over a period of time. Similarities in behavioural pattern of different users are investigated. Binary distance and similarity measures, fuzzy distance measure and the dynamic time warping (DTW) algorithm are used to measure the difference between user patterns and subsequently categorise activities for subsequent energy and comfort optimisation.
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