Energy-Aware Smart Spaces: Activity Recognition via PIR Sensors and Real-Time Classification Models

Authors

  • Duaa Shaikh Department of Robotics and Artificial Intelligence, SZABIST University Karachi, Pakistan
  • Muhammad Waqar Khan Department of Robotics and Artificial Intelligence, SZABIST University Karachi, Pakistan
  • Sanaullah Abbasi Department of Robotics and Artificial Intelligence, SZABIST University Karachi, Pakistan
  • Syed Umarullah Hussaini SZABIST University Karachi

DOI:

https://doi.org/10.63094/AITUSRJ.25.4.2.1

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

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Published

2025-11-21

How to Cite

Shaikh, D., Khan, M. W., Abbasi, S., & Hussaini, S. U. (2025). Energy-Aware Smart Spaces: Activity Recognition via PIR Sensors and Real-Time Classification Models. AITU SCIENTIFIC RESEARCH JOURNAL, 4(2), 1–09. https://doi.org/10.63094/AITUSRJ.25.4.2.1

Issue

Vol. 4 No. 2 (2025): Vol. 4 No. 2 (2025): AITU-SRJ Volume 4 Issue 2 (July-December) 2025

Section

Articles

License

Copyright (c) 2025 AITU SCIENTIFIC RESEARCH JOURNAL

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