Sensor-Based Early Activity Recognition Inside Buildings to Support Energy and Comfort Management Systems

Francesca Marcello, Virginia Pilloni and Daniele Giusto
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Francesca Marcello: Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy
Virginia Pilloni: Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy
Daniele Giusto: Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy

Energies, 2019, vol. 12, issue 13, 1-18

Abstract: Building Energy and Comfort Management (BECM) systems have the potential to considerably reduce costs related to energy consumption and improve the efficiency of resource exploitation, by implementing strategies for resource management and control and policies for Demand-Side Management (DSM). One of the main requirements for such systems is to be able to adapt their management decisions to the users’ specific habits and preferences, even when they change over time. This feature is fundamental to prevent users’ disaffection and the gradual abandonment of the system. In this paper, a sensor-based system for analysis of user habits and early detection and prediction of user activities is presented. To improve the resulting accuracy, the system incorporates statistics related to other relevant external conditions that have been observed to be correlated (e.g., time of the day). Performance evaluation on a real use case proves that the proposed system enables early recognition of activities after only 10 sensor events with an accuracy of 81 % . Furthermore, the correlation between activities can be used to predict the next activity with an accuracy of about 60 % .

Keywords: activity recognition; activity detection; activity prediction; smart building; energy and comfort management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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