Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

A Review of Comprehensive Human Sensing Systems for Intelligent Home Automation

Authors
Yuheng Zhu1, *
1Department of Mechanical Engineering, University College London, London, UK
*Corresponding author. Email: zcemhuk@ucl.ac.uk
Corresponding Author
Yuheng Zhu
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_79How to use a DOI?
Keywords
Human Presence Detection; Sensor Fusion; Smart Home; Energy Efficiency
Abstract

Human presence sensing is essential for enabling intelligent and adaptive control in smart home systems. Traditional single-sensor approaches, such as passive infrared (PIR), millimeter-wave radar, and ambient light sensors, often suffer from specific limitations, including poor performance in detecting stationary individuals, environmental interference, and lack of direct human identification. To overcome these challenges, multi-sensor fusion strategies have been introduced, combining PIR, millimeter-wave radar, and illuminance sensors to form comprehensive sensing systems. These systems improve detection accuracy, reduce false alarms, and enhance energy efficiency by coordinating sensor functions and applying intelligent decision logic. For instance, using PIR for initial motion detection and radar for continued presence recognition balances low power consumption with high detection reliability. Light sensors contribute additional environmental context for smarter lighting control. This paper presents a comparative study of integrated versus traditional sensors, outlines their applications in lighting, HVAC, security, and elderly care, and discusses key challenges such as power management and signal integration. Emerging technologies including WiFi-based sensing, pressure monitoring, and edge computing are also explored as future directions. The findings suggest that comprehensive human sensing offers a promising foundation for next-generation smart home systems.

Copyright
© 2025 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 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_79How to use a DOI?
Copyright
© 2025 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.

Cite this article

TY  - CONF
AU  - Yuheng Zhu
PY  - 2025
DA  - 2025/08/31
TI  - A Review of Comprehensive Human Sensing Systems for Intelligent Home Automation
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 816
EP  - 831
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_79
DO  - 10.2991/978-94-6463-821-9_79
ID  - Zhu2025
ER  -