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}
  2. RT-RK, Institute for Computer Based Systems
    Narodnog Fronta 23a, 21000 Novi Sad, Serbia
    {branislav.todorovic, sasa.vukosavljev}


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)

Publication information

Volume 10, Issue 1 (Januar 2013)
Year of Publication: 2013
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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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),