Using Artificial Intelligence for a Smart Home System.
Keywords:
artificial intelligence; functions of artificial intelligence; intellectual interactions; smart home; resources of a smart home.
Abstract
Smart home and artificial intelligence technologies are evolving rapidly and in various fields of science. The article discusses and analyses the methods and features of building smart home systems using artificial intelligence. Literature analysis and product review are provided to determine the functions and roles of AI in smart home systems. Models of the interaction of users, artificial intelligence systems and smart home modules are considered in the work and the peculiarities of their use are analyzed. The status of the use of artificial intelligence in the development of smart home systems and the main ways and directions of its use are determined.
References
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Norvig, P.; Russell, S. Artificial Intelligence: A Modern Approach, 2rd ed.; Prentice Hall Press: Upper Saddle River, NJ, USA, 2007.
Min, G.; Rho, S.; Chen, W. Advanced issues in artificial intelligence and pattern recognition for intelligent surveillance system in smart home environment. Eng. Appl. Artif. Intell. 2011, 23, 1287–1290.
Fritz, R.; Dermody, G. A Conceptual framework for clinicians working with artificial intelligence and health-assistive smart homes. Nurs. Inq. 2019, 25, 2–9.
Kumar, S.; Abdul Qadeer, M. Application of AI in home automation. Int. J. Eng. Technol. 2013, 4, 913–917
Mouftah, H.T.; Qela, B.; Observe, learn, and adapt (OLA)—An algorithm for energy management in smart homes using wireless sensors and artificial intelligence. IEEE Trans. Smart Grid 2014, 3, 1788–1802
Wardana, I.N.K.; Crisnapati, P.N.; Aryanto, I.K.A.A. Rudas: Energy and sensor devices management system in home automation. In Proceedings of the 2016 IEEE Region 10 Symposium (TENSYMP), Bali, Indonesia, 9–11 May 2016; pp. 184–187.
Park, M.H.; Ju, Y.W.; Jang, Y.H.; Park, S.C. Design of tensorflow-based proactive smart home managers. Lect. Notes Electr. Eng. 2019, 503, 94–105.
Jithish, J.; Sankaran, S. A Hybrid adaptive rule based system for smart home energy prediction. CEUR Workshop Proc. 2018, 1720.
Liouane, Z.; Roose, P.; Lemlouma, T.; Weis, F.; Messaoud, H. A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home; Abraham, A., Franke, K., Köppen, M., Eds.; Springer: Berlin/Heidelberg, Germany 2018; Volume 2, pp. 942–969.
Li, Y.; Su, H.; Liu, L. Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes; Springer International Publishing: New York, NY, USA, 2019; Volume 9983, pp. 61–71.
Wicaksono, W.R.; Surantha, N. Design of smart home security system using object recognition and PIR sensor. Procedia Comput. Sci. 2019, 89, 320–322.
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Published
2020-05-18
How to Cite
Savytskyi Т., & Orlova , M. (2020). Using Artificial Intelligence for a Smart Home System . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (39), 99-104. https://doi.org/10.36910/6775-2524-0560-2020-39-17
Section
Automation and Control
