From Ambient Intelligence to Deep Learning a Bibliometric Analysis of Smart Home Technologies for Elderly Care

Jinmei Xie; Marini Othman; Asha Alam; Jianguang Su; Khan Sarfaraz Ali

doi:10.2991/978-94-6239-733-0_32

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From Ambient Intelligence to Deep Learning a Bibliometric Analysis of Smart Home Technologies for Elderly Care

Authors

Jinmei Xie¹, Marini Othman²^{, *}, Asha Alam³, Jianguang Su⁴, Khan Sarfaraz Ali⁵

¹Faculty of Intelligent Engineering, Guangxi City Vocational University, Chongzuo, 532200, China

²Faculty of Data Science and Information Technology, INTI International University, Nilai, 71800, Malaysia

³Faculty of Business, Inti International University, Nilai, 71800, Malaysia

⁴Faculty of Intelligent Engineering, Guangxi City Vocational University, Chongzuo, 532200, China

⁵Faculty of Business, Inti International University, Nilai, 71800, Malaysia

^*Corresponding author. Email: marini.othman@newinti.edu.my

Corresponding Author

Marini Othman

Available Online 17 July 2026.

DOI: 10.2991/978-94-6239-733-0_32 How to use a DOI?
Keywords: Age-friendly smart homes; Bibliometric analysis; Science mapping; Aging population; Smart living
Abstract: Aligned with the United Nations Sustainable Development Goals (SDGs), age-friendly smart homes provide a vital technological framework for advancing healthy and sustainable aging. Despite increasing academic focus, a comprehensive informatics-based synthesis of this field is still restricted. This study conducts a systematic bibliometric analysis to evaluate scientific outputs and identify emerging research themes in age-friendly smart home technologies. CiteSpace and additional visualization tools were used to assess 700 pertinent publications (2006–2025) that were found in the Web of Science Core Collection using a keyword-driven search strategy. The results indicate a steady growth in research output, with China, the UK, and the USA identified as the most influential contributors. Sensors and IEEE Access are the main publication venues, while the Centre National de la Recherche Scientifique is the dominant institution, according to key findings. Bibliometric mapping reveals that “Internet of Things” and “Activity Recognition” constitute the core technological foundations. Notably, a significant transition toward advanced artificial intelligence is observed, characterized by recent citation bursts in “Machine Learning” and “Deep Learning.” These trends suggest a paradigm shift from basic ambient assisted living toward sophisticated, user-centric AI applications. The study concludes that future research will increasingly emphasize the convergence of AI and smart living informatics, necessitating enhanced international collaboration to bridge the gap between technological innovation and sustainable elderly care.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 17 July 2026
ISBN: 978-94-6239-733-0
ISSN: 2667-128X
DOI: 10.2991/978-94-6239-733-0_32 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Jinmei Xie
AU  - Marini Othman
AU  - Asha Alam
AU  - Jianguang Su
AU  - Khan Sarfaraz Ali
PY  - 2026
DA  - 2026/07/17
TI  - From Ambient Intelligence to Deep Learning a Bibliometric Analysis of Smart Home Technologies for Elderly Care
BT  - Proceedings of the 6th International Conference on Internet, Education and Information Technology (IEIT 2026)
PB  - Atlantis Press
SP  - 296
EP  - 321
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-733-0_32
DO  - 10.2991/978-94-6239-733-0_32
ID  - Xie2026
ER  -

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