Research on the Development Trends and Applications of 
Smart Home Appliances Empowered by Artificial Intelligence

Guowei Li

doi:10.70711/frim.v3i11.7660

Research on the Development Trends and Applications of Smart Home Appliances Empowered by Artificial Intelligence

Guowei Li

Abstract

With the rapid advancement of artificial intelligence (AI) technologies, the home appliance industry has entered a new stage of
intelligent transformation. AI not only enhances the automation and interconnectivity of smart home systems but also significantly improves
user experience, energy efficiency, and service personalization. This paper explores the development trends and application scenarios of AIempowered smart home appliances, focusing on key technologies such as machine learning, natural language processing, and computer vision. Furthermore, it analyzes practical applications in smart energy management, intelligent interaction, and predictive maintenance, while
addressing potential challenges related to data privacy, security, and interoperability. The findings highlight that AI-driven smart appliances
will play an increasingly crucial role in constructing intelligent living environments and promoting the integration of digital technologies with
daily life.

Keywords

Artificial Intelligence; Smart Home; Smart Appliances; Intelligent Interaction; Energy Efficiency; Data Security

Full Text:

PDF

Included Database

References

[1] National Working Committee on Aging. (2021). Annual Report on the Development of Chinas Aging Undertakings (2021) [Z]. Retrieved from http://www.gov.cn/xinwen/2022-10/26/content_5721786.htm

[2] The Central Committee of the Communist Party of China & the State Council. (2022). Opinions on Strengthening the Work on Aging in

the New Era [Z]. Retrieved from http://gj.mofcom.gov.cn/article/202207/20220703323672.shtml

[3] Sun, J. (2021). The elderly care service system under the perspective of healthy aging: Theoretical exploration and institutional conception. Journal of Huazhong University of Science and Technology (Social Science Edition), 35(05), 18+42.

[4] Wang, Y., Fu, C., & Li, Y. (2004). The influence of psychological characteristics of the elderly on life satisfaction. Chinese Journal of

Population Science, (S1), 7782+177.

[5] Dong, Y., Gan, W., & Huang, H. (2021). Product-service system design empowerment for an aging society. Packaging Engineering,

42(08), 109114+147.

[6] Li, Q., Xu, G., & Zhang, Z. (2019). Loneliness of elderly people living alone in cities and its influencing factors. Journal of East China

Normal University (Philosophy and Social Sciences Edition), 51(03), 160171+177.

[7] Liu, L., Cheng, H., & Peng, X. (2022). The impact of social participation patterns of the elderly on cognitive decline in China. Chinese

Journal of Population Science, 211(04), 103114+128.

[8] Suo, J. (2022). Innovative applications of interaction design in smart home products. China Artist, (09), 7678.

DOI: http://dx.doi.org/10.70711/frim.v3i11.7660

Refbacks

There are currently no refbacks.