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VĚCHET, S. HRBÁČEK, J. RŮŽIČKA, M. MAŠEK, P. KREJSA, J.
Original Title
Behavioral Patterns Identification in Smart-Home Application
Type
conference paper
Language
English
Original Abstract
Detection of behavioral patterns in human everyday life is main idea behind self-learning control system used for controling of a thermostat in a smart house. We use a probabilistic naive Bayessian filter in long-term experiments to recognize patterns in human behaviour. Such patterns are used in the control system to automatically adjusting a temperature in experimental room. The main advantage of such method is no needs for manual setup, the control system is naturally self-learned from the user.
Keywords
Pattern recognition, Naive Bayessian Filter, Machine learning, Smart thermostat.
Authors
VĚCHET, S.; HRBÁČEK, J.; RŮŽIČKA, M.; MAŠEK, P.; KREJSA, J.
Released
8. 6. 2016
Publisher
Brno University of Technology
Location
Brno
ISBN
978-80-214-5365-4
Book
Mender 2016 - 22nd International Conference on Soft Computing
Pages from
149
Pages to
152
Pages count
4
BibTex
@inproceedings{BUT127362, author="Stanislav {Věchet} and Jan {Hrbáček} and Michal {Růžička} and Petr {Mašek} and Jiří {Krejsa}", title="Behavioral Patterns Identification in Smart-Home Application", booktitle="Mender 2016 - 22nd International Conference on Soft Computing", year="2016", pages="149--152", publisher="Brno University of Technology", address="Brno", isbn="978-80-214-5365-4" }