DocumentCode :
2998717
Title :
Trend Modelling of Elderly Lifestyle within an Occupancy Simulator
Author :
Mahmoud, Sawsan M. ; Akhlaghinia, M. Javad ; Lotfi, Ahmad ; Langensiepen, Caroline
Author_Institution :
Sch. of Sci. & Technol., Nottingham Trent Univ., Nottingham, UK
fYear :
2011
fDate :
March 30 2011-April 1 2011
Firstpage :
156
Lastpage :
161
Abstract :
In this paper, the trend as an important component in activities of daily living is modelled and integrated to a single-occupant occupancy simulator. Therefore, in the occupancy signal generated by the simulator, both seasonality and trend are included in occupant´s movements. As the result of trends integrated to the simulator, occupancy signals with different types of trends such as increasing, decreasing, cyclic and chaotic trends can be generated. Different types of the trend in occupancy signal improves the occupancy modelling by enabling the model to incorporate long term differentiation in occupant´s behaviour i.e. ageing, health, and other changes in his/her activities of daily living. In this paper, the effect of trends in the occupancy signal generated by the modified simulator is tested by applying autocorrelation function.
Keywords :
correlation methods; handicapped aids; home automation; autocorrelation function; elderly lifestyle; occupancy signals; single-occupant occupancy simulator; trend modelling; Correlation; Data models; Gaussian distribution; Layout; Senior citizens; Smart homes; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
Type :
conf
DOI :
10.1109/UKSIM.2011.38
Filename :
5754227
Link To Document :
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