Sensors 2012, 12(12), 16144-16167; doi:10.3390/s121216144

Advancing Profiling Sensors with a Wireless Approach

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Received: 23 October 2012; in revised form: 9 November 2012 / Accepted: 9 November 2012 / Published: 22 November 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The notion of a profiling sensor was first realized by a Near-Infrared (N-IR) retro-reflective prototype consisting of a vertical column of wired sparse detectors. This paper extends that prior work and presents a wireless version of a profiling sensor as a collection of sensor nodes. The sensor incorporates wireless sensing elements, a distributed data collection and aggregation scheme, and an enhanced classification technique. In this novel approach, a base station pre-processes the data collected from the sensor nodes and performs data re-alignment. A back-propagation neural network was also developed for the wireless version of the N-IR profiling sensor that classifies objects into the broad categories of human, animal or vehicle with an accuracy of approximately 94%. These enhancements improve deployment options as compared with the first generation of wired profiling sensors, possibly increasing the application scenarios for such sensors, including intelligent fence applications.
Keywords: wireless profiling sensor; neural network; object classification; sparse detector array
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MDPI and ACS Style

Galvis, A.; Russomanno, D.J. Advancing Profiling Sensors with a Wireless Approach. Sensors 2012, 12, 16144-16167.

AMA Style

Galvis A, Russomanno DJ. Advancing Profiling Sensors with a Wireless Approach. Sensors. 2012; 12(12):16144-16167.

Chicago/Turabian Style

Galvis, Alex; Russomanno, David J. 2012. "Advancing Profiling Sensors with a Wireless Approach." Sensors 12, no. 12: 16144-16167.

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