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2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (2018)
Athens, Greece
March 19, 2018 to March 23, 2018
ISBN: 978-1-5386-3228-4
pp: 704 -709
Anastasios Vafeiadis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Thanasis Vafeiadis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Stelios Zikos , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Stelios Krinidis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Konstantinos Votis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Dimitrios Giakoumis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Dimosthenis Ioannidis , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Dimitrios Tzovaras , Information Technologies Institute Center for Research & Technology Hellas, Thessaloniki, Greece
Liming Chen , Faculty of Technology, De Montfort University Leicester, UK
Raouf Hamzaoui , Faculty of Technology, De Montfort University Leicester, UK
ABSTRACT
We propose a framework for energy-based human activity recognition in a household environment. We apply machine learning techniques to infer the state of household appliances from their energy consumption data and use rule- based scenarios that exploit these states to detect human activity. Our decision engine achieved a 99.1% accuracy for real-world data collected in the kitchens of two smart homes.
INDEX TERMS
Home appliances, Activity recognition, Energy consumption, Engines, Plugs, Data collection
CITATION

A. Vafeiadis et al., "Energy-based decision engine for household human activity recognition," 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)(PERCOM WORKSHOPS), Athens, Greece, 2018, pp. 704 -709 .
doi:10.1109/PERCOMW.2018.8480314
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