Passive human presence detection method based on the incremental analysis of principal components from the signal strength space

2012 ◽  
Author(s):  
Dusan Nenadic ◽  
Bojan Mrazovac
Keyword(s):  
Principal Components ◽  
Detection Method ◽  
Signal Strength ◽  
Incremental Analysis ◽  
Human Presence ◽  
Human Presence Detection

scholarly journals System design for passive human detection using principal components of the signal strength space

2013 ◽  
Vol 10 (1) ◽  
pp. 423-452 ◽  
Author(s):  
Bojan Mrazovac ◽  
Milan Bjelica ◽  
Dragan Kukolj ◽  
Branislav Todorovic ◽  
Sasa Vukosavljev
Keyword(s):  
Principal Components ◽  
Detection Method ◽  
Power Saving ◽  
Signal Strength ◽  
Human Detection ◽  
Detection Accuracy ◽  
Human Presence ◽  
Development Costs ◽  
Human Presence Detection ◽  
Radio Signals

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.

Device‐free indoor human presence detection method based on the information entropy of RSSI variations

2013 ◽  
Vol 49 (22) ◽  
pp. 1386-1388 ◽  
Author(s):  
B. Mrazovac ◽  
B.M. Todorović ◽  
M.Z. Bjelica ◽  
D. Kukolj
Keyword(s):  
Information Entropy ◽  
Detection Method ◽  
Human Presence ◽  
Human Presence Detection ◽  
Device Free

Human presence detection and tracking for a concierge robot

2004 ◽  
Vol 37 (8) ◽  
pp. 986-991
Author(s):  
Iñaki Rañó ◽  
Bogdan Raducanu ◽  
Sriram Subramanian
Keyword(s):  
Human Presence ◽  
Detection And Tracking ◽  
Human Presence Detection

scholarly journals A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 58 ◽  
Author(s):  
Liangliang Lou ◽  
Jinyi Zhang ◽  
Yong Xiong ◽  
Yanliang Jin
Keyword(s):  
Error Detection ◽  
Detection Method ◽  
Signal Strength ◽  
Vehicle Detection ◽  
Received Signal Strength ◽  
Detection Accuracy ◽  
Detection Problem ◽  
Traffic Light ◽  
Radio Stations ◽  
Multiple Detection

A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles.

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