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System Design for Passive Human Detection using Principal Components of the Signal Strength Space

Bojan Mrazovac¹, Milan Z. Bjelica¹, Dragan Kukolj¹, Branislav M. Todorović² and Saša Vukosavljev²

1. Faculty of Technical Sciences
   Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
   {bojan.mrazovac, milan.bjelica, dragan.kukolj}@rt-rk.com
2. RT-RK, Institute for Computer Based Systems
   Narodnog Fronta 23a, 21000 Novi Sad, Serbia
   {branislav.todorovic, sasa.vukosavljev}@rt-rk.com

Abstract

In this article, device-free human presence detection method based on principal components analysis of the radio signal strength variations is proposed. The method increases user awareness for automated power management interaction in residential power saving systems. Motivation comes from a need for decreasing the installation complexity and development costs induced by the integration of specific human presence detection sensors. The method exploits the fact that a human body interferes with radio signals by introducing irregularities in the radio signature which indicate possible human presence. By analyzing radio signals between radio transceivers embedded in 2.4 GHz wireless power outlets, the original environment is not visually modified and a certain level of sensorial intelligence is introduced without additional sensors. The analysis of the signal strength variations in principal components space enhances the detection accuracy level of human presence detection method, retaining low installation costs and improving overall energy conservation.

Key words

energy awareness, human presence detection, principal components analysis, radio irregularity, RSSI, smart outlets, Zigbee

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS120531010M

Publication information

Volume 10, Issue 1 (Januar 2013)
Year of Publication: 2013
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Mrazovac, B., Bjelica, M. Z., Kukolj, D., Todorović, B. M., Vukosavljev, S.: System Design for Passive Human Detection using Principal Components of the Signal Strength Space. Computer Science and Information Systems, Vol. 10, No. 1, 423-452. (2013), https://doi.org/10.2298/CSIS120531010M