Artificial intelligence in smart homes: innovative approaches and application opportunities
DOI:
https://doi.org/10.56294/la2025181Keywords:
Smart home technologies, AI integration, automation systems, human-robot interactionAbstract
Artificial intelligence-supported smart home technologies are evolving rapidly, offering users enhanced living standards. This article analyzes the current state of AI-integrated smart homes, exploring both academic literature and product applications on the market. The primary goal is to understand the technological development trends and how theoretical research aligns with real-world products. The article explains how AI enhances automation, management, and human-robot interaction in smart homes. The results indicate a delay between literature advancements and market implementations, suggesting that AI-powered smart home systems will become more widespread in the near future.
References
1. Risteska Stojkoska, B.L.; Trivodaliev, K.V. A review of the Internet of Things (IoT) in smart homes: challenges and solutions. J. Clean. Prod., 2017, 140, 1454–1464.
2. Firth, S.K.; Fouchal, F.; Kane, T.; Dimitriou, V.; Hassan, T.M. Decision support systems for domestic retrofit using smart home data streams. In Proceedings of the CIB W78 2013 30th International Conference on Applied IT AECInd. Towards Smart Buildings, Infrastructures, and Cities, Beijing, China, October 9–12, 2013; p. 10.
3. Russell, S.; Norvig, P. Artificial Intelligence: A Modern Approach, 3rd ed.; Prentice Hall Press: Upper Saddle River, NJ, USA, 2009.
4. Rho, S.; Min, G.; Chen, W. Advanced issues in AI and pattern recognition for intelligent surveillance systems in smart home environments. Eng. Appl. Artif. Intell., 2012, 25, 1299–1300.
5. Dermody, G.; Fritz, R. A conceptual framework for clinicians working with AI in health-assistive smart homes. Nurs. Inq., 2018, 26, 1–8.
6. Kumar, S.; Abdul Qadeer, M. Application of AI in home automation. Int. J. Eng. Technol., 2012, 4, 803–807.
7. Huh, J.; Seo, K. Lecture notes in electrical engineering. In Artificial Intelligence Shoe Cabinet Using Deep Learning for Smart Homes; Park, J.J., Chen, S.C., Raymond Choo, K.K., Eds.; Springer Singapore: Singapore, 2019; Volume 448, pp. 825–834.
8. Qela, B.; Mouftah, H.T. Observe, learn, and adapt (OLA) – An algorithm for energy management in smart homes using wireless sensors and AI. IEEE Trans. Smart Grid, 2012, 3, 2262–2272.
9. Orpwood, R. CASAS: A smart home in a box. In Pathy’s Principles and Practice of Geriatric Medicine; John Wiley & Sons, Ltd.: Chichester, UK, 2012; Volume 2, pp. 1513–1523.
10. Kopytko, V.; Shevchuk, L.; Yankovska, L.; Semchuk, Z.; Strilchuk, R. Smart homes and AI as environments for implementing new technologies. Path Sci., 2018, 4, 2007–2012. [CrossRef]
11. Tang, S.X. Study on the application of AI technology in intelligent buildings. Management, Information and Educational Engineering; CRC Press: Boca Raton, FL, USA, 2015; pp. 933–936.
12. Crisnapati, P.N.; Wardana, I.N.K.; 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, May 9–11, 2016; pp. 184–187.
13. Binyamin SS, Ben Slama SA, Zafar B. Artificial intelligence-powered energy community management for developing renewable energy systems in smart homes. Energy Strategy Reviews 2024;51:101288. https://doi.org/10.1016/j.esr.2023.101288.
14. Khayyat MM, Sami B. Energy Community Management Based on Artificial Intelligence for the Implementation of Renewable Energy Systems in Smart Homes. Electronics 2024;13:380. https://doi.org/10.3390/electronics13020380.
15. Gozuoglu A, Ozgonenel O, Gezegin C. CNN-LSTM based deep learning application on Jetson Nano: Estimating electrical energy consumption for future smart homes. Internet of Things 2024;26:101148. https://doi.org/10.1016/j.iot.2024.101148.
16. Lu Y, Zhou L, Zhang A, Zha S, Zhuo X, Ge S. Application of Deep Learning and Intelligent Sensing Analysis in Smart Home. Sensors 2024;24:953. https://doi.org/10.3390/s24030953.
17. Alotaibi BS, Shema AI, Ibrahim AU, Abuhussain MA, Abdulmalik H, Dodo YA, et al. Assimilation of 3D printing, Artificial Intelligence (AI) and Internet of Things (IoT) for the construction of eco-friendly intelligent homes: An explorative review. Heliyon 2024;10. https://doi.org/10.1016/j.heliyon.2024.e36846.
18. Zhu J, Wang D, Zhao Y. Design of smart home environment based on wireless sensor system and artificial speech recognition. Measurement: Sensors 2024;33:101090. https://doi.org/10.1016/j.measen.2024.101090.
19. Magara T, Zhou Y. Internet of Things (IoT) of Smart Homes: Privacy and Security. Journal of Electrical and Computer Engineering 2024;2024:7716956. https://doi.org/10.1155/2024/7716956.
20. Ahmad HB, Asaad RR, Almufti SM, Hani AA, Sallow AB, Zeebaree SRM. SMART HOME ENERGY SAVING WITH BIG DATA AND MACHINE LEARNING. Jurnal Ilmiah Ilmu Terapan Universitas Jambi 2024;8:11-20. https://doi.org/10.22437/jiituj.v8i1.32598.
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Copyright (c) 2025 Vugar Abdullayev, Osmanli Nazrin (Author)

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