Open Access
Peer-Reviewed
Original Research
A Smart Context-aware Domotics System to Predict User Behavior
Abstract
Home automation or domotics systems are ambient inte lligence systems that are designed to help people proactively, but sensibly. In this paper we propose a system that l earns and automates patterns in the interactions of the user with the home automation de vices. We show our appro ach and architecture. An event processing tool is used to handle the events from the home automation devices, prediction algorithms predict the next action and both rule-based algorithms as reinforcement learning decide which actions are suitable to be automated. We show the results of our system on both a synthetic data set and a real data set. The automation system manages to au tomate a significant number of interactions for the user.
Keywords
Computer Science
Information Systems
Software Engineering
Artificial Intelligence
IADIS
Data Analytics
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Leuven, et al. (2011). A Smart Context-aware Domotics System to Predict User Behavior. IADIS International Journal on Computer Science and Information Systems, 6(1). https://doi.org/10.33965/ijcsis_2011_v6i1_12
Leuven, et al. "A Smart Context-aware Domotics System to Predict User Behavior." IADIS International Journal on Computer Science and Information Systems, vol. 6, no. 1, 2011. https://doi.org/10.33965/ijcsis_2011_v6i1_12
Leuven, et al. "A Smart Context-aware Domotics System to Predict User Behavior." IADIS International Journal on Computer Science and Information Systems 6, no. 1 (2011). https://doi.org/10.33965/ijcsis_2011_v6i1_12