Abstract

This article deals with a feasibility study on the detection of human movements in indoor scenarios based on radio signal strength variations. The sensing principle exploits the fact that the human body interacts with wireless signals, introducing variations of the radiowave fields due to shadowing and multipath phenomena. As a result, human motion can be inferred from fluctuations of radiowave power collected by a receiving terminal. In this paper, we investigate the potentialities of widely available wireless communication devices in order to develop an improvised motion detection system (IMDS). Experimental tests are performed in an indoor environment by using a smartphone as a Wi-Fi access point and a laptop with dedicated software as a receiver. Simple detection strategies tailored for real-time operation are implemented to process the received signal strength measurements. The achieved results confirm the potentialities of the simple system here proposed to reliably detect human motion in operational conditions.

Highlights

  • In recent years, wireless technology has become very pervasive by covering different application fields, ranging from communications to surveillance, security, medicine, and environmental monitoring.Significant efforts have been carried out to address the challenging problems of detection, localization, and tracking of targets in complex scenarios, such as urban areas or indoor environments

  • It is very insightful since it provides experimental evidence of the irregularities in the radiowave pattern due to shadowing and multipath

  • [0, 1000] s, he moved in the window [1000, 1280] s, and he was again stationary in the quantization (1 dBm) of received signal strength (RSS) measurements and to the fact that the Finite-Difference Time-Domain (FDTD) model is idealistic since it Experimental tests effectiveness of the improvised motion detection system (IMDS) haveare been carriedwhen out inthe thescene indoor interval

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Summary

Introduction

Wireless technology has become very pervasive by covering different application fields, ranging from communications to surveillance, security, medicine, and environmental monitoring. The intrinsic difficulties related to the localization and tracking of targets in a complex electromagnetic scenario for security and military applications have motivated the development of sophisticated and expensive radars; as a consequence these devices are not suitable for civilian applications where a large scale and long-term sensor deployment is usually demanded In this framework, the rapid and enormous diffusion of mobile computing and wireless devices (e.g., Wi-Fi cards, smartphones, etc.) and sensor networks, has recently triggered pioneering research studies with the goal to replace ad-hoc sensors for remote sensing applications with cheaper wireless devices not designed for remote sensing purposes [16,17,18,19].

Electromagnetic
Two-dimensional
Note the total power has
Ratio between total RF power and and LOS
A Lenovo
Data Processing Approach
Results
Example
Computation the standard deviation for of each window
Movement detection if the standard deviation
Histogram
Measurement results and detectoroutputs outputs for moving in the interval
Conclusions
Full Text
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