A Review of Comprehensive Human Sensing Systems for Intelligent Home Automation
- 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.
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 -