Recent Advances in Popular Deep Learning Techniques in HAR for Smart Homes

Minakshi B. Dobale; Latika Pinjarkar; Sumit Chakravarty

doi:10.2991/978-94-6239-723-1_44

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Recent Advances in Popular Deep Learning Techniques in HAR for Smart Homes

Authors

Minakshi B. Dobale¹^{, *}, Latika Pinjarkar², Sumit Chakravarty³

¹Symbiosis Institute of Technology, SymbiosisInternational(Deemed) University, Nagpur Campus, Pune, India

²Bharati Vidyapeeth (Deemed) University, Navi Mumbai, India

³Kennesaw State University, Kennesaw, USA

^*Corresponding author. Email: minakshi.dobale.phd2024@sitpune.edu.in

Corresponding Author

Minakshi B. Dobale

Available Online 14 July 2026.

DOI: 10.2991/978-94-6239-723-1_44 How to use a DOI?
Keywords: Smart Home; HAR; activity Recognition; deep learning techniques; neural network; LSTM; CNN
Abstract: The recent developments in the field of technologies like IoT and the decrease in prices of different sensors have led to the promotion of intelligent environments, like smart homes system. Smart homes should provide automated home-based support services to enhance inhabitants’ quality of life, independence, and fitness, particularly for the elderly, disabled, and other vulnerable groups. To automate such services at home, the smart home should recognize the everyday routine activities of inhabitants. Methods that detect human activity recognition in smart homes are still evolving, but many issues arise daily. In the present review article, we have reviewed the present status regarding current algorithms, datasets, research, and challenges of HAR in smart homes using sensors.
Copyright: © 2026 The Author(s)
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 International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
Series: Advances in Intelligent Systems Research
Publication Date: 14 July 2026
ISBN: 978-94-6239-723-1
ISSN: 1951-6851
DOI: 10.2991/978-94-6239-723-1_44 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  - Minakshi B. Dobale
AU  - Latika Pinjarkar
AU  - Sumit Chakravarty
PY  - 2026
DA  - 2026/07/14
TI  - Recent Advances in Popular Deep Learning Techniques in HAR for Smart Homes
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 496
EP  - 504
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_44
DO  - 10.2991/978-94-6239-723-1_44
ID  - Dobale2026
ER  -

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