admin DOI:
Keywords:
Passive Infrared (PIR) Sensor, Occupancy Detection, Human Activity Recognition, Motion Detection, Presence Detection, Smart Building Systems
Abstract
– In the age of intelligent structures and energy efficiency, accurate identification of human presence and activity has become essential. Passive Infrared (PIR) sensors, recognized for their energy efficiency and affordability, are essential in smart environmental management systems. This research investigates the use of PIR sensor arrays in contemporary structures to identify occupancy and categorize human activities. With a dataset of 15,000 records gathered in a smart office setting, we assess different machine learning models to categorize activity states: empty, stationary human presence, and active motion. Our tests demonstrate the effectiveness of ensemble models, notably Random Forest and ANN, in attaining high classification precision. This study demonstrates the viability of creating advanced building management systems that improve energy efficiency and security.
References
Sang, V. Q., Quan, P. V., & Bao, B. D. (2025). Optimized Fresnel lens design for enhanced Passive infrared sensors in advanced security monitoring systems.
Shokrollahi, M., Abadeh, M. S., Alizadeh, A., & Mahdipour, E. (2024). Passive Infrared Sensor-Based Occupancy Monitoring in Smart Buildings: A Review of Methodologies and Machine Learning Approaches. Sensors, 24(5), 1533.
Li, Beatrice, et al. “Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments.”
Lin, Y.-C., Chou, C.-H., & Wang, Y.-H. (2022). Multi-Target PIR Indoor Localization and Tracking System with Artificial Intelligence. Sensors, 22(23), 9450
Yun and Lee (2014) . Human Movement Detection and Idengification Using Pyroelectric Infrared Sensors.
Ben-Sadoun, G., Michel, E., Annweiler, C., & Sacco, G. (2022). Human Fall Detection Using Passive Infrared Sensors with Low Resolution: A Systematic Review.
E. O. Amuta et al., “Motion detection system using passive infrared technology,” IOP Conference Series Earth and Environmental Science, vol. 1342, no. 1, p. 012001, May 2024, doi: 10.1088/1755-1315/1342/1/012001.
Verma, M., Kaler, R. S., & Singh, M. (2021).“Sensitivity enhancement of Passive Infrared (PIR) sensor for motion detection.”
Verma, A., Sahay, K., Prakash, S., Kumar, A., Kumar, A., Lahza, H. F. M., Lahza, H., & Albahar, M. A. (2023). A Systematic Review on Machine Learning Fundamentals for Smart Home: Towards Smart City Solution.
